Solving the Rubik's Cube Without Human Knowledge. - Stephen McAleer; Forest Agostinelli; Alexander Shmakov; Pierre Baldi (CoRR, 2018)

Solving the Rubik's Cube with Approximate Policy Iteration. - Stephen McAleer; Forest Agostinelli; Alexander Shmakov; Pierre Baldi (ICLR (Poster), 2019)

Curiosity-Driven Multi-Criteria Hindsight Experience Replay. - John B. Lanier; Stephen McAleer; Pierre Baldi (CoRR, 2019)

ColosseumRL: A Framework for Multiagent Reinforcement Learning in N-Player Games. - Alexander Shmakov; John B. Lanier; Stephen McAleer; Rohan Achar; Cristina V. Lopes; Pierre Baldi (CoRR, 2019)

Solving the Rubik's cube with deep reinforcement learning and search. - Forest Agostinelli; Stephen McAleer; Alexander Shmakov; Pierre Baldi (Nat. Mach. Intell., 2019)

Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning. - Siyu Shao; Stephen McAleer; Ruqiang Yan 001; Pierre Baldi (IEEE Trans. Ind. Informatics, 2019)

Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. - Somdeb Majumdar; Shauharda Khadka; Santiago Miret; Stephen McAleer; Kagan Tumer (ICML, 2020)

Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games. - Stephen McAleer; John B. Lanier; Roy Fox; Pierre Baldi (NeurIPS, 2020)

Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging. - Stephen McAleer; Alex Fast; Yuntian Xue; Magdalene Seiler; William Tang 001; Mihaela Balu; Pierre Baldi; Andrew W. Browne (CoRR, 2020)

Neural Auto-Curricula in Two-Player Zero-Sum Games. - Xidong Feng; Oliver Slumbers; Ziyu Wan; Bo Liu 039; Stephen McAleer; Ying Wen 001; Jun Wang 012; Yaodong Yang 001 (NeurIPS, 2021)

XDO: A Double Oracle Algorithm for Extensive-Form Games. - Stephen McAleer; John B. Lanier; Kevin A. Wang; Pierre Baldi; Roy Fox (NeurIPS, 2021)

A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks. - Forest Agostinelli; Alexander Shmakov; Stephen McAleer; Roy Fox; Pierre Baldi (CoRR, 2021)

XDO: A Double Oracle Algorithm for Extensive-Form Games. - Stephen McAleer; John B. Lanier; Pierre Baldi; Roy Fox (CoRR, 2021)

Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. - Xidong Feng; Oliver Slumbers; Yaodong Yang 001; Ziyu Wan; Bo Liu 039; Stephen McAleer; Ying Wen 001; Jun Wang 012 (CoRR, 2021)

Improving Social Welfare While Preserving Autonomy via a Pareto Mediator. - Stephen McAleer; John B. Lanier; Michael Dennis 001; Pierre Baldi; Roy Fox (CoRR, 2021)

Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates. - Litian Liang; Yaosheng Xu; Stephen McAleer; Dailin Hu; Alexander Ihler; Pieter Abbeel; Roy Fox (CoRR, 2021)

Target Entropy Annealing for Discrete Soft Actor-Critic. - Yaosheng Xu; Dailin Hu; Litian Liang; Stephen McAleer; Pieter Abbeel; Roy Fox (CoRR, 2021)

Independent Natural Policy Gradient always converges in Markov Potential Games. - Roy Fox; Stephen M. McAleer; Will Overman; Ioannis Panageas (AISTATS, 2022)

Proving Theorems using Incremental Learning and Hindsight Experience Replay. - Eser Aygün; Ankit Anand; Laurent Orseau; Xavier Glorot; Stephen Marcus McAleer; Vlad Firoiu; Lei M. Zhang; Doina Precup; Shibl Mourad (ICML, 2022)

Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. - Litian Liang; Yaosheng Xu; Stephen McAleer; Dailin Hu; Alexander Ihler; Pieter Abbeel; Roy Fox (ICML, 2022)

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. - Yuanpei Chen; Tianhao Wu 001; Shengjie Wang; Xidong Feng; Jiechuan Jiang; Zongqing Lu 002; Stephen McAleer; Hao Dong 003; Song-Chun Zhu; Yaodong Yang 001 (NeurIPS, 2022)

Anytime PSRO for Two-Player Zero-Sum Games. - Stephen McAleer; Kevin Wang 003; John B. Lanier; Marc Lanctot; Pierre Baldi; Tuomas Sandholm; Roy Fox (CoRR, 2022)

Learning Risk-Averse Equilibria in Multi-Agent Systems. - Oliver Slumbers; David Henry Mguni; Stephen McAleer; Jun Wang 012; Yaodong Yang 001 (CoRR, 2022)

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. - Yuanpei Chen; Yaodong Yang 001; Tianhao Wu 001; Shengjie Wang; Xidong Feng; Jiechuang Jiang; Stephen Marcus McAleer; Hao Dong 003; Zongqing Lu 002; Song-Chun Zhu (CoRR, 2022)

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas W. Anthony 001; Stephen McAleer; Romuald Elie; et al. (CoRR, 2022)

Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games. - Stephen McAleer; John B. Lanier; Kevin A. Wang; Pierre Baldi; Roy Fox; Tuomas Sandholm (CoRR, 2022)

Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments. - John B. Lanier; Stephen McAleer; Pierre Baldi; Roy Fox (CoRR, 2022)

Game Theoretic Rating in N-player general-sum games with Equilibria. - Luke Marris; Marc Lanctot; Ian Gemp; Shayegan Omidshafiei; Stephen McAleer; Jerome T. Connor; Karl Tuyls; Thore Graepel (CoRR, 2022)

Online Double Oracle. - Le Cong Dinh; Stephen Marcus McAleer; Zheng Tian 002; Nicolas Perez Nieves; Oliver Slumbers; David Henry Mguni; Jun Wang 012; Haitham Bou-Ammar; Yaodong Yang 001 (Trans. Mach. Learn. Res., 2022)

Sequential Decision Making in Single-Agent and Multi-Agent Domains - Stephen McAleer (2022)

Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning". - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas Anthony 001; Stephen McAleer; Romuald Elie; et al. (Zenodo, 2022)

ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret. - Stephen Marcus McAleer; Gabriele Farina; Marc Lanctot; Tuomas Sandholm (ICLR, 2023)

MANSA: Learning Fast and Slow in Multi-Agent Systems. - David Henry Mguni; Haojun Chen; Taher Jafferjee; Jianhong Wang; Longfei Yue; Xidong Feng; Stephen Marcus McAleer; Feifei Tong; Jun Wang 012; Yaodong Yang 001 (ICML, 2023)

A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems. - Oliver Slumbers; David Henry Mguni; Stefano B. Blumberg; Stephen Marcus McAleer; Yaodong Yang 001; Jun Wang 012 (ICML, 2023)

Regret-Minimizing Double Oracle for Extensive-Form Games. - Xiaohang Tang; Le Cong Dinh; Stephen Marcus McAleer; Yaodong Yang 001 (ICML, 2023)

Language Models can Solve Computer Tasks. - Geunwoo Kim; Pierre Baldi; Stephen McAleer (NeurIPS, 2023)

Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning. - Stephen McAleer; Gabriele Farina; Gaoyue Zhou; Mingzhi Wang; Yaodong Yang 001; Tuomas Sandholm (NeurIPS, 2023)

Policy Space Diversity for Non-Transitive Games. - Jian Yao 008; Weiming Liu 004; Haobo Fu; Yaodong Yang 001; Stephen McAleer; Qiang Fu 016; Wei Yang 032 (NeurIPS, 2023)

Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. - Brian Hu Zhang; Gabriele Farina; Ioannis Anagnostides; Federico Cacciamani; Stephen McAleer; Andreas A. Haupt; Andrea Celli; Nicola Gatti 001; Vincent Conitzer; Tuomas Sandholm (NeurIPS, 2023)

Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games. - Ioannis Anagnostides; Fivos Kalogiannis; Ioannis Panageas; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Stephen McAleer (EC, 2023)

MANSA: Learning Fast and Slow in Multi-Agent Systems. - David Mguni; Taher Jafferjee; Haojun Chen; Jianhong Wang; Long Fei; Xidong Feng; Stephen McAleer; Feifei Tong; Jun Wang 012; Yaodong Yang 001 (CoRR, 2023)

Steering No-Regret Learners to Optimal Equilibria. - Brian Hu Zhang; Gabriele Farina; Ioannis Anagnostides; Federico Cacciamani; Stephen Marcus McAleer; Andreas Alexander Haupt; Andrea Celli; Nicola Gatti 001; Vincent Conitzer; Tuomas Sandholm (CoRR, 2023)

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. - Yongyuan Liang; Yanchao Sun; Ruijie Zheng; Xiangyu Liu; Tuomas Sandholm; Furong Huang; Stephen McAleer (CoRR, 2023)

AI Alignment: A Comprehensive Survey. - Jiaming Ji; Tianyi Qiu; Boyuan Chen 008; Borong Zhang; Hantao Lou; Kaile Wang; Yawen Duan; Zhonghao He; Jiayi Zhou; Zhaowei Zhang; Fanzhi Zeng; Kwan Yee Ng; et al. (CoRR, 2023)

JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. - Yang Li 116; Kun Xiong; Yingping Zhang; Jiangcheng Zhu; Stephen Marcus McAleer; Wei Pan 004; Jun Wang 012; Zonghong Dai; Yaodong Yang 001 (Trans. Mach. Learn. Res., 2023)

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. - Michael J. Curry; Vinzenz Thoma; Darshan Chakrabarti; Stephen McAleer; Christian Kroer; Tuomas Sandholm; Niao He; Sven Seuken (AAAI, 2024)

Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. - Pengdeng Li; Shuxin Li 001; Xinrun Wang; Jakub Cerný; Youzhi Zhang 001; Stephen McAleer; Hau Chan; Bo An 001 (AAMAS, 2024)

Llemma: An Open Language Model for Mathematics. - Zhangir Azerbayev; Hailey Schoelkopf; Keiran Paster; Marco Dos Santos; Stephen Marcus McAleer; Albert Q. Jiang; Jia Deng; Stella Biderman; Sean Welleck (ICLR, 2024)

Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. - Tim Franzmeyer; Stephen Marcus McAleer; João F. Henriques; Jakob Nicolaus Foerster; Philip Torr 001; Adel Bibi; Christian Schröder de Witt (ICLR, 2024)

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. - Yongyuan Liang; Yanchao Sun; Ruijie Zheng; Xiangyu Liu; Benjamin Eysenbach; Tuomas Sandholm; Furong Huang; Stephen Marcus McAleer (ICLR, 2024)

Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games. - Stephen Marcus McAleer; JB Lanier; Kevin A. Wang; Pierre Baldi; Tuomas Sandholm; Roy Fox (ICLR, 2024)

Confronting Reward Model Overoptimization with Constrained RLHF. - Ted Moskovitz; Aaditya K. Singh; DJ Strouse; Tuomas Sandholm; Ruslan Salakhutdinov; Anca D. Dragan; Stephen Marcus McAleer (ICLR, 2024)

AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training. - Ziyu Wan; Xidong Feng; Muning Wen; Stephen Marcus McAleer; Ying Wen 001; Weinan Zhang 001; Jun Wang 012 (ICML, 2024)

Scalable Mechanism Design for Multi-Agent Path Finding. - Paul Friedrich 001; Yulun Zhang 002; Michael J. Curry; Ludwig Dierks; Stephen McAleer; Jiaoyang Li 001; Tuomas Sandholm; Sven Seuken (IJCAI, 2024)

Policy Space Response Oracles: A Survey. - Ariyan Bighashdel; Yongzhao Wang 001; Stephen McAleer; Rahul Savani; Frans A. Oliehoek (IJCAI, 2024)

Steering No-Regret Learners to a Desired Equilibrium. - Brian Hu Zhang; Gabriele Farina; Ioannis Anagnostides; Federico Cacciamani; Stephen McAleer; Andreas A. Haupt; Andrea Celli; Nicola Gatti 001; Vincent Conitzer; Tuomas Sandholm (EC, 2024)

Faster Game Solving via Hyperparameter Schedules. - Naifeng Zhang; Stephen McAleer; Tuomas Sandholm (CoRR, 2024)

AgentKit: Flow Engineering with Graphs, not Coding. - Yue Wu 001; Yewen Fan; So Yeon Min; Shrimai Prabhumoye; Stephen McAleer; Yonatan Bisk; Ruslan Salakhutdinov; Yuanzhi Li; Tom M. Mitchell (CoRR, 2024)

Tree Search for Language Model Agents. - Jing Yu Koh; Stephen McAleer; Daniel Fried; Ruslan Salakhutdinov (CoRR, 2024)

Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games. - Xiaohang Tang; Chiyuan Wang; Chengdong Ma; Ilija Bogunovic; Stephen McAleer; Yaodong Yang 001 (CoRR, 2024)

ASP: Learn a Universal Neural Solver! - Chenguang Wang 011; Zhouliang Yu; Stephen McAleer; Tianshu Yu 001; Yaodong Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. - Lukas Schäfer 001; Oliver Slumbers; Stephen McAleer; Yali Du 001; Stefano V. Albrecht; David Mguni (AAMAS, 2025)