Improving the Robustness of Deep Neural Networks via Stability Training. - Stephan Zheng; Yang Song 009; Thomas Leung; Ian J. Goodfellow (CVPR, 2016)

Generating Long-term Trajectories Using Deep Hierarchical Networks. - Stephan Zheng; Yisong Yue; Jennifer A. Hobbs (NIPS, 2016)

Generating Long-term Trajectories Using Deep Hierarchical Networks. - Stephan Zheng; Yisong Yue; Patrick Lucey (CoRR, 2017)

Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories. - Long Sha; Patrick Lucey; Stephan Zheng; Taehwan Kim; Yisong Yue; Sridha Sridharan (CoRR, 2017)

Long-term Forecasting using Tensor-Train RNNs. - Rose Yu; Stephan Zheng; Anima Anandkumar; Yisong Yue (CoRR, 2017)

Multi-resolution Tensor Learning for Large-Scale Spatial Data. - Stephan Zheng; Rose Yu; Yisong Yue (CoRR, 2018)

Detecting Adversarial Examples via Neural Fingerprinting. - Sumanth Dathathri; Stephan Zheng; Richard M. Murray; Yisong Yue (CoRR, 2018)

Generative Multi-Agent Behavioral Cloning. - Eric Zhan; Stephan Zheng; Yisong Yue; Long Sha; Patrick Lucey (CoRR, 2018)

Generating Multi-Agent Trajectories using Programmatic Weak Supervision. - Eric Zhan; Stephan Zheng; Yisong Yue; Long Sha; Patrick Lucey (ICLR (Poster), 2019)

On the Generalization Gap in Reparameterizable Reinforcement Learning. - Huan Wang 014; Stephan Zheng; Caiming Xiong; Richard Socher (ICML, 2019)

NAOMI: Non-Autoregressive Multiresolution Sequence Imputation. - Yukai Liu; Rose Yu; Stephan Zheng; Eric Zhan; Yisong Yue (NeurIPS, 2019)

Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. - Alexander Trott; Stephan Zheng; Caiming Xiong; Richard Socher (NeurIPS, 2019)

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. - Wenling Shang; Alexander Trott; Stephan Zheng; Caiming Xiong; Richard Socher (CoRR, 2019)

Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework. - Michael Shum; Stephan Zheng; Wojciech Kryscinski; Caiming Xiong; Richard Socher (CoRR, 2019)

ESPRIT: Explaining Solutions to Physical Reasoning Tasks. - Nazneen Fatema Rajani; Rui Zhang 037; Yi Chern Tan; Stephan Zheng; Jeremy Weiss; Aadit Vyas; Abhijit Gupta; Caiming Xiong; Richard Socher; Dragomir R. Radev (ACL, 2020)

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. - Jung Yeon Park; Kenneth Theo Carr; Stephan Zheng; Yisong Yue; Rose Yu (ICML, 2020)

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies. - Stephan Zheng; Alexander Trott; Sunil Srinivasa; Nikhil Naik 002; Melvin Gruesbeck; David C. Parkes; Richard Socher (CoRR, 2020)

The Rise of AI-Driven Simulators: Building a New Crystal Ball. - Ian T. Foster; David C. Parkes; Stephan Zheng (CoRR, 2020)

Robustness Gym: Unifying the NLP Evaluation Landscape. - Karan Goel; Nazneen Fatema Rajani; Jesse Vig; Samson Tan; Jason Wu; Stephan Zheng; Caiming Xiong; Mohit Bansal; Christopher Ré (CoRR, 2021)

ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations. - Eric Zhao 003; Alexander R. Trott; Caiming Xiong; Stephan Zheng (CoRR, 2021)

The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning. - Stephan Zheng; Alexander Trott; Sunil Srinivasa; David C. Parkes; Richard Socher (CoRR, 2021)

Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist. - Alexander Trott; Sunil Srinivasa; Douwe van der Wal; Sebastien Haneuse; Stephan Zheng (CoRR, 2021)

WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU. - Tian Lan; Sunil Srinivasa; Stephan Zheng (CoRR, 2021)

Simulation Intelligence: Towards a New Generation of Scientific Methods. - Alexander Lavin; Hector Zenil; Brooks Paige; David Krakauer; Justin Gottschlich; Tim Mattson; Anima Anandkumar; Sanjay Choudry; Kamil Rocki; Atilim Günes Baydin; Carina Prunkl; Olexandr Isayev; et al. (CoRR, 2021)

Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning. - Michael Curry 002; Alexander Trott; Soham Phade; Yu Bai; Stephan Zheng (CoRR, 2022)

Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal. - Tong Mu; Stephan Zheng; Alexander Trott (CoRR, 2022)

Using Reinforcement Learning to Study Platform Economies under Market Shocks. - Xintong Wang 002; Gary Qiurui Ma; Alon Eden; Clara Li; Alexander Trott; Stephan Zheng; David C. Parkes (CoRR, 2022)

AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. - Tianyu Zhang; Andrew Williams; Soham Phade; Sunil Srinivasa; Yang Zhang; Prateek Gupta; Yoshua Bengio; Stephan Zheng (CoRR, 2022)

WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU. - Tian Lan 006; Sunil Srinivasa; Huan Wang 016; Stephan Zheng (J. Mach. Learn. Res., 2022)

Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcement Learning. - Tong Mu; Stephan Zheng; Alexander R. Trott (Trans. Mach. Learn. Res., 2022)

Learning to Play General-Sum Games against Multiple Boundedly Rational Agents. - Eric Zhao 003; Alexander R. Trott; Caiming Xiong; Stephan Zheng (AAAI, 2023)

Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning. - Michael Curry 002; Alexander Trott; Soham Phade; Yu Bai; Stephan Zheng (AAMAS, 2023)

Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study. - Xintong Wang 002; Gary Qiurui Ma; Alon Eden; Clara Li; Alexander Trott; Stephan Zheng; David C. Parkes (WWW, 2023)

AI For Global Climate Cooperation 2023 Competition Proceedings. - Yoshua Bengio; Prateek Gupta; Lu Li; Soham Phade; Sunil Srinivasa; Andrew Williams; Tianyu Zhang; Yang Zhang; Stephan Zheng (CoRR, 2023)

MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning. - Arundhati Banerjee; Soham R. Phade; Stefano Ermon; Stephan Zheng (Trans. Mach. Learn. Res., 2023)

Position: Social Environment Design Should be Further Developed for AI-based Policy-Making. - Edwin Zhang; Sadie Zhao; Tonghan Wang 001; Safwan Hossain; Henry Gasztowtt; Stephan Zheng; David C. Parkes; Milind Tambe; Yiling Chen 001 (ICML, 2024)

Social Environment Design. - Edwin Zhang; Sadie Zhao; Tonghan Wang 001; Safwan Hossain; Henry Gasztowtt; Stephan Zheng; David C. Parkes; Milind Tambe; Yiling Chen 001 (CoRR, 2024)