Patrol Strategies to Maximize Pristine Forest Area. - Matthew Paul Johnson; Fei Fang 001; Milind Tambe (AAAI, 2012)

Challenges in Patrolling to Maximize Pristine Forest Area (Position Paper). - Matthew P. Johnson 001; Fei Fang 001; Rong Yang 001; Milind Tambe; Heidi J. Albers (AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health, 2012)

Designing better strategies against human adversaries in network security games. - Rong Yang 001; Fei Fang 001; Albert Xin Jiang; Karthik Rajagopal; Milind Tambe; Rajiv T. Maheswaran (AAMAS, 2012)

Optimal patrol strategy for protecting moving targets with multiple mobile resources. - Fei Fang 001; Albert Xin Jiang; Milind Tambe (AAMAS, 2013)

Protecting Moving Targets with Multiple Mobile Resources. - Fei Fang 001; Albert Xin Jiang; Milind Tambe (J. Artif. Intell. Res., 2013)

Robust Protection of Fisheries with COmPASS. - William B. Haskell 001; Debarun Kar; Fei Fang 001; Milind Tambe; Sam Cheung; Elizabeth Denicola (AAAI, 2014)

Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains. - Haifeng Xu; Fei Fang 001; Albert Xin Jiang; Vincent Conitzer; Shaddin Dughmi; Milind Tambe (AAAI, 2014)

Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report. - Debarun Kar; Fei Fang 001; Francesco Maria Delle Fave; Nicole D. Sintov; Milind Tambe; Arlette van Wissen (AAAI Workshop: Computational Sustainability, 2015)

Defender Strategies In Domains Involving Frequent Adversary Interaction. - Fei Fang 001; Peter Stone 001; Milind Tambe (AAMAS, 2015)

"A Game of Thrones": When Human Behavior Models Compete in Repeated Stackelberg Security Games. - Debarun Kar; Fei Fang 001; Francesco Maria Delle Fave; Nicole D. Sintov; Milind Tambe (AAMAS, 2015)

When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing. - Fei Fang 001; Peter Stone 001; Milind Tambe (IJCAI, 2015)

Reports on the 2015 AAAI Spring Symposium Series. - Nitin Agarwal 001; Sean Andrist; Dan Bohus; Fei Fang 001; Laurie Fenstermacher; Lalana Kagal; Takashi Kido; Christopher Kiekintveld; William F. Lawless; Huan Liu 001; Andrew McCallum; Hemant Purohit; et al. (AI Mag., 2015)

Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). - Fei Fang 001; Thanh Hong Nguyen; Rob Pickles; Wai Y. Lam; Gopalasamy R. Clements; Bo An 001; Amandeep Singh; Milind Tambe (AAAI, 2016)

Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. - Fei Fang 001; Thanh Hong Nguyen; Rob Pickles; Wai Y. Lam; Gopalasamy R. Clements; Bo An 001; Amandeep Singh; Milind Tambe; Andrew Lemieux (AAAI, 2016)

From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. - Nicole D. Sintov; Debarun Kar; Thanh Hong Nguyen; Fei Fang 001; Kevin Hoffman; Arnaud Lyet; Milind Tambe (AAAI, 2016)

Abstraction Methods for Solving Graph-Based Security Games. - Anjon Basak; Fei Fang 001; Thanh Hong Nguyen; Christopher Kiekintveld (AAMAS Workshops (Visionary Papers), 2016)

Combining Graph Contraction and Strategy Generation for Green Security Games. - Anjon Basak; Fei Fang 001; Thanh Hong Nguyen; Christopher Kiekintveld (GameSec, 2016)

Three Strategies to Success: Learning Adversary Models in Security Games. - Nika Haghtalab; Fei Fang 001; Thanh Hong Nguyen; Arunesh Sinha; Ariel D. Procaccia; Milind Tambe (IJCAI, 2016)

Comparing human behavior models in repeated Stackelberg security games: An extended study. - Debarun Kar; Fei Fang 001; Francesco Maria Delle Fave; Nicole D. Sintov; Milind Tambe; Arnaud Lyet (Artif. Intell., 2016)

Green security games: apply game theory to addressing green security challenges. - Fei Fang 001; Thanh Hong Nguyen (SIGecom Exch., 2016)

Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data. - Debarun Kar; Benjamin J. Ford; Shahrzad Gholami; Fei Fang 001; Andrew J. Plumptre; Milind Tambe; Margaret Driciru; Fred Wanyama; Aggrey Rwetsiba; Mustapha Nsubaga; Joshua Mabonga (AAMAS, 2017)

Optimizing Peer Teaching to Enhance Team Performance. - Zheyuan Shi; Fei Fang 001 (AAMAS Workshops (Selected Papers), 2017)

VIOLA: Video Labeling Application for Security Domains. - Elizabeth Bondi; Fei Fang 001; Debarun Kar; Venil Loyd Noronha; Donnabell Dmello; Milind Tambe; Arvind Iyer; Robert Hannaford (GameSec, 2017)

Optimal Patrol Planning for Green Security Games with Black-Box Attackers. - Haifeng Xu; Benjamin J. Ford; Fei Fang 001; Bistra Dilkina; Andrew J. Plumptre; Milind Tambe; Margaret Driciru; Fred Wanyama; Aggrey Rwetsiba; Mustapha Nsubaga; Joshua Mabonga (GameSec, 2017)

Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test. - Shahrzad Gholami; Benjamin J. Ford; Fei Fang 001; Andrew J. Plumptre; Milind Tambe; Margaret Driciru; Fred Wanyama; Aggrey Rwetsiba; Mustapha Nsubaga; Joshua Mabonga (ECML/PKDD (3), 2017)

Reports on the 2017 AAAI Spring Symposium Series. - Jeannette Bohg; Xavier Boix; Nancy Chang; Elizabeth F. Churchill; Vivian Chu; Fei Fang 001; Jerome Feldman; Avelino J. Gonzalez; Takashi Kido; William F. Lawless; José L. Montaña; Santiago Ontañón; et al. (AI Mag., 2017)

PAWS - A Deployed Game-Theoretic Application to Combat Poaching. - Fei Fang 001; Thanh Hong Nguyen; Rob Pickles; Wai Y. Lam; Gopalasamy R. Clements; Bo An 001; Amandeep Singh; Brian C. Schwedock; Milind Tambe; Andrew Lemieux (AI Mag., 2017)

Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences. - Nicole D. Sintov; Debarun Kar; Thanh Hong Nguyen; Fei Fang 001; Kevin Hoffman; Arnaud Lyet; Milind Tambe (AI Mag., 2017)

Video Labeling for Automatic Video Surveillance in Security Domains. - Elizabeth Bondi; Debarun Kar; Venil Loyd Noronha; Donnabell Dmello; Milind Tambe; Fei Fang 001; Arvind Iyer; Robert Hannaford (CoRR, 2017)

Predicting poaching for wildlife Protection. - Fei Fang 001; Thanh Hong Nguyen; Arunesh Sinha; Shahrzad Gholami; Andrew J. Plumptre; Lucas Joppa; Milind Tambe; Margaret Driciru; Fred Wanyama; Aggrey Rwetsiba; Rob Critchlow; Colin M. Beale (IBM J. Res. Dev., 2017)

SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. - Elizabeth Bondi; Fei Fang 001; Mark Hamilton; Debarun Kar; Donnabell Dmello; Jongmoo Choi; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe; Ram Nevatia (AAAI, 2018)

Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda. - Shahrzad Gholami; Benjamin J. Ford; Debarun Kar; Fei Fang 001; Milind Tambe; Andrew J. Plumptre; Margaret Driciru; Fred Wanyama; Aggrey Rwetsiba; Mustapha Nsubaga; Joshua Mabonga (AAAI Workshops, 2018)

Policy Learning for Continuous Space Security Games Using Neural Networks. - Nitin Kamra; Umang Gupta; Fei Fang 001; Yan Liu 002; Milind Tambe (AAAI, 2018)

Deep Reinforcement Learning for Green Security Game with Online Information. - Lantao Yu; Yi Wu 013; Rohit Singh; Lucas Joppa; Fei Fang 001 (AAAI Workshops, 2018)

Inducible Equilibrium for Security Games. - Qingyu Guo; Jiarui Gan; Fei Fang 001; Long Tran-Thanh; Milind Tambe; Bo An 001 (AAMAS, 2018)

Deceiving Cyber Adversaries: A Game Theoretic Approach. - Aaron Schlenker; Omkar Thakoor; Haifeng Xu; Fei Fang 001; Milind Tambe; Long Tran-Thanh; Phebe Vayanos; Yevgeniy Vorobeychik (AAMAS, 2018)

AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. - Elizabeth Bondi; Debadeepta Dey; Ashish Kapoor; Jim Piavis; Shital Shah; Fei Fang 001; Bistra Dilkina; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe (COMPASS, 2018)

Exploiting Data and Human Knowledge for Predicting Wildlife Poaching. - Swaminathan Gurumurthy; Lantao Yu; Chenyan Zhang; Yongchao Jin; Weiping Li; Xiaodong Zhang; Fei Fang 001 (COMPASS, 2018)

What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games. - Chun Kai Ling; Fei Fang 001; J. Zico Kolter (IJCAI, 2018)

Designing the Game to Play: Optimizing Payoff Structure in Security Games. - Zheyuan Ryan Shi; Ziye Tang; Long Tran-Thanh; Rohit Singh; Fei Fang 001 (IJCAI, 2018)

Stackelberg Security Games: Looking Beyond a Decade of Success. - Arunesh Sinha; Fei Fang 001; Bo An 001; Christopher Kiekintveld; Milind Tambe (IJCAI, 2018)

Exploiting Data and Human Knowledge for Predicting Wildlife Poaching. - Swaminathan Gurumurthy; Lantao Yu; Chenyan Zhang; Yongchao Jin; Weiping Li; Haidong Zhang; Fei Fang 001 (CoRR, 2018)

The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting. - Aaron M. Roth; Umang Bhatt; Tamara Amin; Afsaneh Doryab; Fei Fang 001; Manuela M. Veloso (CoRR, 2018)

On the Inducibility of Stackelberg Equilibrium for Security Games. - Qingyu Guo; Jiarui Gan; Fei Fang 001; Long Tran-Thanh; Milind Tambe; Bo An 001 (AAAI, 2019)

Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. - Shihui Li; Yi Wu 013; Xinyue Cui; Honghua Dong; Fei Fang 001; Stuart Russell 001 (AAAI, 2019)

Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. - Chun Kai Ling; Fei Fang 001; J. Zico Kolter (AAAI, 2019)

Deep Reinforcement Learning for Green Security Games with Real-Time Information. - Yufei Wang; Zheyuan Ryan Shi; Lantao Yu; Yi Wu 013; Rohit Singh; Lucas Joppa; Fei Fang 001 (AAAI, 2019)

Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. - Elizabeth Bondi; Hoon Oh; Haifeng Xu; Fei Fang 001; Bistra Dilkina; Milind Tambe (AAMAS, 2019)

Using Game Theory in Real Time in the Real World: A Conservation Case Study. - Elizabeth Bondi; Hoon Oh; Haifeng Xu; Fei Fang 001; Bistra Dilkina; Milind Tambe (AAMAS, 2019)

Optimal Trip-Vehicle Dispatch with Multi-Type Requests. - Taoan Huang; Bohui Fang; Hoon Oh; Xiaohui Bei; Fei Fang 001 (AAMAS, 2019)

Deep Fictitious Play for Games with Continuous Action Spaces. - Nitin Kamra; Umang Gupta; Kai Wang 040; Fei Fang 001; Yan Liu 002; Milind Tambe (AAMAS, 2019)

Cooperative communication between two transiently powered sensors by reinforcement learning: work-in-progress. - Yawen Wu; Zhenge Jia; Fei Fang 001; Jingtong Hu (CODES+ISSS, 2019)

DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. - Nitin Kamra; Umang Gupta; Kai Wang 040; Fei Fang 001; Yan Liu 002; Milind Tambe (GameSec, 2019)

Cyber Camouflage Games for Strategic Deception. - Omkar Thakoor; Milind Tambe; Phebe Vayanos; Haifeng Xu; Christopher Kiekintveld; Fei Fang 001 (GameSec, 2019)

Integrating Learning with Game Theory for Societal Challenges. - Fei Fang 001 (IJCAI, 2019)

Modeling observability in adaptive systems to defend against advanced persistent threats. - Cody Kinneer; Ryan Wagner; Fei Fang 001; Claire Le Goues; David Garlan (MEMOCODE, 2019)

Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. - Gabriele Farina; Chun Kai Ling; Fei Fang 001; Tuomas Sandholm (NeurIPS, 2019)

Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. - Gabriele Farina; Chun Kai Ling; Fei Fang 001; Tuomas Sandholm (NeurIPS, 2019)

A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. - Aaron M. Roth; Samantha Reig; Umang Bhatt; Jonathan Shulgach; Tamara Amin; Afsaneh Doryab; Fei Fang 001; Manuela Veloso (RO-MAN, 2019)

Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests. - Taoan Huang; Bohui Fang; Xiaohui Bei; Fei Fang 001 (UAI, 2019)

Computational sustainability: computing for a better world and a sustainable future. - Carla P. Gomes; Thomas G. Dietterich; Christopher Barrett; Jon Conrad; Bistra Dilkina; Stefano Ermon; Fei Fang 001; Andrew Farnsworth; Alan Fern; Xiaoli Z. Fern; Daniel Fink 002; Douglas H. Fisher; et al. (Commun. ACM, 2019)

Towards Thwarting Social Engineering Attacks. - Zheyuan Ryan Shi; Aaron Schlenker; Brian Hay; Fei Fang 001 (CoRR, 2019)

Artificial Intelligence for Social Good. - Gregory D. Hager; Ann W. Drobnis; Fei Fang 001; Rayid Ghani; Amy Greenwald; Terah Lyons; David C. Parkes; Jason Schultz; Suchi Saria; Stephen F. Smith; Milind Tambe (CoRR, 2019)

Learning and Planning in Feature Deception Games. - Zheyuan Ryan Shi; Ariel D. Procaccia; Kevin S. Chan; Sridhar Venkatesan; Noam Ben-Asher; Nandi O. Leslie; Charles A. Kamhoua; Fei Fang 001 (CoRR, 2019)

Signal Instructed Coordination in Team Competition. - Liheng Chen; Hongyi Guo; Haifeng Zhang 002; Fei Fang 001; Yaoming Zhu; Ming Zhou 006; Weinan Zhang 001; Qing Wang; Yong Yu 001 (CoRR, 2019)

Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance. - Aaron Schlenker; Omkar Thakoor; Haifeng Xu; Fei Fang 001; Milind Tambe; Phebe Vayanos (Adaptive Autonomous Secure Cyber Systems, 2020)

To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability. - Elizabeth Bondi; Hoon Oh; Haifeng Xu; Fei Fang 001; Bistra Dilkina; Milind Tambe (AAAI, 2020)

Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK. - Zheyuan Ryan Shi; Aaron Schlenker; Brian Hay; Daniel Bittleston; Siyu Gao; Emily Peterson; John Trezza; Fei Fang 001 (AAAI, 2020)

Improving Efficiency of Volunteer-Based Food Rescue Operations. - Zheyuan Ryan Shi; Yiwen Yuan; Kimberly Lo; Leah Lizarondo; Fei Fang 001 (AAAI, 2020)

Green Security Game with Community Engagement. - Taoan Huang; Weiran Shen; David Zeng; Tianyu Gu; Rohit Singh; Fei Fang 001 (AAMAS, 2020)

Harnessing the Power of Deception in Attack Graph-Based Security Games. - Stephanie Milani; Weiran Shen; Kevin S. Chan; Sridhar Venkatesan; Nandi O. Leslie; Charles A. Kamhoua; Fei Fang 001 (GameSec, 2020)

Learning and Planning in the Feature Deception Problem. - Zheyuan Ryan Shi; Ariel D. Procaccia; Kevin S. Chan; Sridhar Venkatesan; Noam Ben-Asher; Nandi O. Leslie; Charles A. Kamhoua; Fei Fang 001 (GameSec, 2020)

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. - Qian Long; Zihan Zhou 002; Abhinav Gupta 001; Fei Fang 001; Yi Wu 013; Xiaolong Wang 004 (ICLR, 2020)

When to Follow the Tip: Security Games with Strategic Informants. - Weiran Shen; Weizhe Chen 001; Taoan Huang; Rohit Singh; Fei Fang 001 (IJCAI, 2020)

Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. - Steven Jecmen; Hanrui Zhang 001; Ryan Liu 001; Nihar B. Shah; Vincent Conitzer; Fei Fang 001 (NeurIPS, 2020)

Deep Archimedean Copulas. - Chun Kai Ling; Fei Fang 001; J. Zico Kolter (NeurIPS, 2020)

Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. - Andrew Perrault; Fei Fang 001; Arunesh Sinha; Milind Tambe (AI Mag., 2020)

AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. - Andrew Perrault; Fei Fang 001; Arunesh Sinha; Milind Tambe (CoRR, 2020)

Artificial Intelligence for Social Good: A Survey. - Zheyuan Ryan Shi; Claire Wang; Fei Fang 001 (CoRR, 2020)

Bandit Data-driven Optimization: AI for Social Good and Beyond. - Zheyuan Ryan Shi; Zhiwei Steven Wu; Rayid Ghani; Fei Fang 001 (CoRR, 2020)

Data-Driven Multimodal Patrol Planning for Anti-poaching. - Weizhe Chen 001; Weinan Zhang 001; Duo Liu; Weiping Li; Xiaojun Shi; Fei Fang 001 (AAAI, 2021)

Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. - Nicholay Topin; Stephanie Milani; Fei Fang 001; Manuela Veloso (AAAI, 2021)

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. - Lily Xu; Elizabeth Bondi; Fei Fang 001; Andrew Perrault; Kai Wang 040; Milind Tambe (AAAI, 2021)

Game Theoretic Models for Cyber Deception. - Fei Fang 001 (MTD@CCS, 2021)

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. - Liheng Chen; Hongyi Guo; Yali Du 001; Fei Fang 001; Haifeng Zhang 002; Weinan Zhang 001; Yong Yu 001 (DAI, 2021)

Poster: Pallet Estimation for Food Bank Logistics Management. - Alison Hau; Fei Fang 001; Zheyuan Ryan Shi (COMPASS, 2021)

Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. - Zhenggang Tang; Chao Yu 005; Boyuan Chen 003; Huazhe Xu; Xiaolong Wang 004; Fei Fang 001; Simon Shaolei Du; Yu Wang 002; Yi Wu 013 (ICLR, 2021)

Temporal Induced Self-Play for Stochastic Bayesian Games. - Weizhe Chen 001; Zihan Zhou 002; Yi Wu 013; Fei Fang 001 (IJCAI, 2021)

Robust reinforcement learning under minimax regret for green security. - Lily Xu; Andrew Perrault; Fei Fang 001; Haipeng Chen 001; Milind Tambe (UAI, 2021)

Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the Age of CCPA. - Rex Chen; Fei Fang 001; Thomas B. Norton; Aleecia M. McDonald; Norman M. Sadeh (WPES@CCS, 2021)

A Recommender System for Crowdsourcing Food Rescue Platforms. - Zheyuan Ryan Shi; Leah Lizarondo; Fei Fang 001 (WWW, 2021)

AGNT SI: agents and multiagent systems for social good. - Fei Fang 001 (Auton. Agents Multi Agent Syst., 2021)

Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing. - Hoon Oh; Yanhan (Savannah) Tang; Zong Zhang; Alexandre Jacquillat; Fei Fang 001 (CoRR, 2021)

Safe Subgame Resolving for Extensive Form Correlated Equilibrium. - Chun Kai Ling; Fei Fang 001 (AAAI, 2022)

Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms. - Zheyuan Ryan Shi; Zhiwei Steven Wu; Rayid Ghani; Fei Fang 001 (AAAI, 2022)

Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. - Steven Jecmen; Hanrui Zhang 001; Ryan Liu 001; Fei Fang 001; Vincent Conitzer; Nihar B. Shah (AAMAS, 2022)

The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality. - Rex Chen; Fei Fang 001; Norman M. Sadeh (ATT@IJCAI, 2022)

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. - Peide Huang; Mengdi Xu; Fei Fang 001; Ding Zhao (IJCAI, 2022)

Ranked Prioritization of Groups in Combinatorial Bandit Allocation. - Lily Xu; Arpita Biswas; Fei Fang 001; Milind Tambe (IJCAI, 2022)

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. - Peide Huang; Mengdi Xu; Jiacheng Zhu; Laixi Shi; Fei Fang 001; Ding Zhao (NeurIPS, 2022)

Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. - Jibang Wu; Weiran Shen; Fei Fang 001; Haifeng Xu (NeurIPS, 2022)

PerfectDou: Dominating DouDizhu with Perfect Information Distillation. - Guan Yang; Minghuan Liu; Weijun Hong; Weinan Zhang 001; Fei Fang 001; Guangjun Zeng; Yue Lin (NeurIPS, 2022)

MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning. - Stephanie Milani; Zhicheng Zhang; Nicholay Topin; Zheyuan Ryan Shi; Charles A. Kamhoua; Evangelos E. Papalexakis; Fei Fang 001 (ECML/PKDD (4), 2022)

A Survey of Explainable Reinforcement Learning. - Stephanie Milani; Nicholay Topin; Manuela Veloso; Fei Fang 001 (CoRR, 2022)

PerfectDou: Dominating DouDizhu with Perfect Information Distillation. - Yang Guan; Minghuan Liu; Weijun Hong; Weinan Zhang 001; Fei Fang 001; Guangjun Zeng; Yue Lin (CoRR, 2022)

Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment. - Steven Jecmen; Nihar B. Shah; Fei Fang 001; Vincent Conitzer (CoRR, 2022)

Spatio-Temporal Pricing for Ridesharing Platforms. - Hongyao Ma; Fei Fang 001; David C. Parkes (Oper. Res., 2022)

Cooperative Communication Between Two Transiently Powered Sensor Nodes by Reinforcement Learning. - Yawen Wu; Zhenge Jia; Fei Fang 001; Jingtong Hu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

NewsPanda: Media Monitoring for Timely Conservation Action. - Sedrick Scott Keh; Zheyuan Ryan Shi; David J. Patterson 001; Nirmal Bhagabati; Karun Dewan; Areendran Gopala; Pablo Izquierdo; Debojyoti Mallick; Ambika Sharma; Pooja Shrestha; Fei Fang 001 (AAAI, 2023)

Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. - Chun Kai Ling; J. Zico Kolter; Fei Fang 001 (AAAI, 2023)

Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. - Stephanie Milani; Arthur Juliani; Ida Momennejad; Raluca Georgescu; Jaroslaw Rzepecki; Alison Shaw; Gavin Costello; Fei Fang 001; Sam Devlin; Katja Hofmann (CHI, 2023)

Multi-defender Security Games with Schedules. - Zimeng Song; Chun Kai Ling; Fei Fang 001 (GameSec, 2023)

Explainable Action Advising for Multi-Agent Reinforcement Learning. - Yue Guo 003; Joseph Campbell; Simon Stepputtis; Ruiyu Li; Dana Hughes 001; Fei Fang 001; Katia P. Sycara (ICRA, 2023)

A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment. - Yixuan Xu; Steven Jecmen; Zimeng Song; Fei Fang 001 (NeurIPS, 2023)

Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation. - Ravdeep S. Pasricha; Uday Singh Saini; Nicholas D. Sidiropoulos; Fei Fang 001; Kevin Chan 001; Evangelos E. Papalexakis (SDM, 2023)

Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications? - Rex Chen; Kathleen M. Carley; Fei Fang 001; Norman M. Sadeh (WSC, 2023)

A Dataset on Malicious Paper Bidding in Peer Review. - Steven Jecmen; Minji Yoon; Vincent Conitzer; Nihar B. Shah; Fei Fang 001 (WWW, 2023)

Bi-level Latent Variable Model for Sample-Efficient Multi-Agent Reinforcement Learning. - Aravind Venugopal; Stephanie Milani; Fei Fang 001; Balaraman Ravindran (CoRR, 2023)

Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial. - Ryan Liu 001; Steven Jecmen; Vincent Conitzer; Fei Fang 001; Nihar B. Shah (CoRR, 2023)

A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment. - Yixuan Even Xu; Steven Jecmen; Zimeng Song; Fei Fang 001 (CoRR, 2023)

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. - Jiayu Chen 005; Zelai Xu; Yunfei Li 005; Chao Yu 005; Jiaming Song; Huazhong Yang; Fei Fang 001; Yu Wang 002; Yi Wu 013 (AAAI, 2024)

Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages. - Sameer Jain; Sedrick Scott Keh; Shova Chettri; Karun Dewan; Pablo Izquierdo; Johanna Prussman; Pooja Shrestha; César Suárez; Zheyuan Ryan Shi; Lei Li 005; Fei Fang 001 (AAAI, 2024)

Learning Coalition Structures with Games. - Yixuan Even Xu; Chun Kai Ling; Fei Fang 001 (AAAI, 2024)

MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning. - Aravind Venugopal; Stephanie Milani; Fei Fang 001; Balaraman Ravindran (AAMAS, 2024)

MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure. - Zhicheng Zhang; Yancheng Liang; Yi Wu 013; Fei Fang 001 (AAMAS, 2024)

PATIENT-ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals. - Ruiyi Wang; Stephanie Milani; Jamie C. Chiu; Jiayin Zhi; Shaun M. Eack; Travis Labrum; Samuel M. Murphy; Nev Jones; Kate Hardy; Hong Shen 004; Fei Fang 001; Zhiyu Chen 002 (EMNLP, 2024)

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. - Zelai Xu; Chao Yu 005; Fei Fang 001; Yu Wang 002; Yi Wu 013 (ICML, 2024)

Global Rewards in Restless Multi-Armed Bandits. - Naveen Raman 001; Zheyuan Shi; Fei Fang 001 (NeurIPS, 2024)

Multi-Agent Imitation Learning: Value is Easy, Regret is Hard. - Jingwu Tang; Gokul Swamy; Fei Fang 001; Zhiwei Steven Wu (NeurIPS, 2024)

Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms. - Zheyuan Ryan Shi; Jiayin Zhi; Siqi Zeng 001; Zhicheng Zhang; Ameesh Kapoor; Sean Hudson; Hong Shen 004; Fei Fang 001 (WWW, 2024)

RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization. - Mateo Dulce Rubio; Siqi Zeng 001; Qi Wang; Didier Alvarado; Francisco Moreno Rivera; Hoda Heidari; Fei Fang 001 (ACM J. Comput. Sustain. Soc., 2024)

An extensive study of security games with strategic informants. - Weiran Shen; Minbiao Han; Weizhe Chen 001; Taoan Huang; Rohit Singh; Haifeng Xu; Fei Fang 001 (Artif. Intell., 2024)

Missing Pieces: How Framing Uncertainty Impacts Longitudinal Trust in AI Decision Aids - A Gig Driver Case Study. - Rex Chen; Ruiyi Wang; Norman Sadeh 001; Fei Fang 001 (CoRR, 2024)

PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals. - Ruiyi Wang; Stephanie Milani; Jamie C. Chiu; Shaun M. Eack; Travis Labrum; Samuel M. Murphy; Nev Jones; Kate Hardy; Hong Shen 004; Fei Fang 001; Zhiyu Zoey Chen (CoRR, 2024)

Safe Multi-agent Reinforcement Learning with Natural Language Constraints. - Ziyan Wang; Meng Fang; Tristan Tomilin; Fei Fang 001; Yali Du 001 (CoRR, 2024)

Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels. - Zhuorui Ye; Stephanie Milani; Geoffrey J. Gordon; Fei Fang 001 (CoRR, 2024)

TypedThinker: Typed Thinking Improves Large Language Model Reasoning. - Danqing Wang; Jianxin Ma; Fei Fang 001; Lei Li 005 (CoRR, 2024)

Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models. - Danqing Wang; Zhuorui Ye; Fei Fang 001; Lei Li 005 (CoRR, 2024)

Explainable Reinforcement Learning: A Survey and Comparative Review. - Stephanie Milani; Nicholay Topin; Manuela Veloso; Fei Fang 001 (ACM Comput. Surv., 2024)

Improving Community-Participated Patrol for Anti-Poaching. - Yufei Wu 008; Yixuan Even Xu; Xuming Zhang; Duo Liu; Shibing Zhu; Fei Fang 001 (AAAI, 2025)

Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games. - Yixuan Even Xu; Zhe Feng; Fei Fang 001 (AAAI, 2025)

REALM: A Dataset of Real-World LLM Use Cases. - Jingwen Cheng; Kshitish Ghate; Wenyue Hua; William Yang Wang; Hong Shen 004; Fei Fang 001 (ACL (Findings), 2025)

Missing Pieces: How Do Designs that Expose Uncertainty Longitudinally Impact Trust in AI Decision Aids? An In Situ Study of Gig Drivers. - Rex Chen; Ruiyi Wang; Norman M. Sadeh; Fei Fang 001 (FAccT, 2025)

TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking. - Danqing Wang; Jianxin Ma; Fei Fang 001; Lei Li 005 (ICLR, 2025)

LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning. - Zhuorui Ye; Stephanie Milani; Geoffrey J. Gordon; Fei Fang 001 (ICLR, 2025)

CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy. - Mian Zhang; Xianjun Yang; Xinlu Zhang; Travis Labrum; Jamie C. Chiu; Shaun M. Eack; Fei Fang 001; William Yang Wang; Zhiyu Chen 002 (NAACL (Long Papers), 2025)

The Next Wave of AI for Social Impact: Challenges and Opportunities. - Milind Tambe; Fei Fang 001; Andrew Perrault; Bryan Wilder (IEEE Intell. Syst., 2025)

On the Detection of Reviewer-Author Collusion Rings From Paper Bidding. - Steven Jecmen; Nihar B. Shah; Fei Fang 001; Leman Akoglu (Trans. Mach. Learn. Res., 2025)

Grounded Persuasive Language Generation for Automated Marketing. - Jibang Wu; Chenghao Yang 001; Simon Mahns; Chaoqi Wang; Hao Zhu; Fei Fang 001; Haifeng Xu (CoRR, 2025)

M3HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality. - Ziyan Wang; Zhicheng Zhang; Fei Fang 001; Yali Du 001 (CoRR, 2025)

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning. - Yixuan Even Xu; Yash Savani; Fei Fang 001; Zico Kolter (CoRR, 2025)

Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters. - Danqing Wang; Zhuorui Ye; Xinran Zhao; Fei Fang 001; Lei Li 005 (CoRR, 2025)

Persuasive Prediction via Decision Calibration. - Jingwu Tang; Jiahao Zhang; Fei Fang 001; Zhiwei Steven Wu (CoRR, 2025)

Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning. - Rex Chen; Stephanie Milani; Zhicheng Zhang; Norman M. Sadeh; Fei Fang 001 (CoRR, 2025)

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback. - Rex Chen; Karen Wu; John McCartney; Norman M. Sadeh; Fei Fang 001 (CoRR, 2025)

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models. - Zhicheng Zhang; Ziyan Wang; Yali Du 001; Fei Fang 001 (CoRR, 2025)