Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning - Lukas Schäfer; Oliver Slumbers; Stephen McAleer; Yali Du; Stefano V. Albrecht; David Mguni (Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025, Detroit, MI, USA, May 19-23, 2025, 2025)

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

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 (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Grasper: A Generalist Pursuer for Pursuit-Evasion Problems - Pengdeng Li; Shuxin Li; Xinrun Wang; Jakub Cerný; Youzhi Zhang; Stephen McAleer; Hau Chan; Bo An (Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024, Auckland, New Zealand, May 6-10, 2024, 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 (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Illusory Attacks: Information-theoretic detectability matters in adversarial attacks - Tim Franzmeyer; Stephen Marcus McAleer; João F. Henriques; Jakob Nicolaus Foerster; Philip Torr; Adel Bibi; Christian Schröder de Witt (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 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 (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 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 (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 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 (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training - Ziyu Wan; Xidong Feng; Muning Wen; Stephen Marcus McAleer; Ying Wen; Weinan Zhang; Jun Wang (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Scalable Mechanism Design for Multi-Agent Path Finding - Paul Friedrich; Yulun Zhang; Michael J. Curry; Ludwig Dierks; Stephen McAleer; Jiaoyang Li; Tuomas Sandholm; Sven Seuken (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

Policy Space Response Oracles: A Survey - Ariyan Bighashdel; Yongzhao Wang; Stephen McAleer; Rahul Savani; Frans A. Oliehoek (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 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; Vincent Conitzer; Tuomas Sandholm (Proceedings of the 25th ACM Conference on Economics and Computation, EC 2024, New Haven, CT, USA, July 8-11, 2024, 2024)

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

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 (CoRR, 2024)

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

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

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

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

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

ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret - Stephen Marcus McAleer; Gabriele Farina; Marc Lanctot; Tuomas Sandholm (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 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; Yaodong Yang (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 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; Jun Wang (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Regret-Minimizing Double Oracle for Extensive-Form Games - Xiaohang Tang; Le Cong Dinh; Stephen Marcus McAleer; Yaodong Yang (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Language Models can Solve Computer Tasks - Geunwoo Kim; Pierre Baldi; Stephen McAleer (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 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; Tuomas Sandholm (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Policy Space Diversity for Non-Transitive Games - Jian Yao; Weiming Liu; Haobo Fu; Yaodong Yang; Stephen McAleer; Qiang Fu; Wei Yang (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 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; Vincent Conitzer; Tuomas Sandholm (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games - Ioannis Anagnostides; Fivos Kalogiannis; Ioannis Panageas; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Stephen McAleer (Proceedings of the 24th ACM Conference on Economics and Computation, EC 2023, London, United Kingdom, July 9-12, 2023, 2023)

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

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning - Lukas Schäfer; Oliver Slumbers; Stephen McAleer; Yali Du; Stefano V. Albrecht; David Mguni (CoRR, 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; Yaodong Yang (CoRR, 2023)

ASP: Learn a Universal Neural Solver! - Chenguang Wang; Zhouliang Yu; Stephen McAleer; Tianshu Yu; Yaodong Yang (CoRR, 2023)

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

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

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

Policy Space Diversity for Non-Transitive Games - Jian Yao; Weiming Liu; Haobo Fu; Yaodong Yang; Stephen McAleer; Qiang Fu; Wei Yang (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)

JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games - Yang Li; Kun Xiong; Yingping Zhang; Jiangcheng Zhu; Stephen McAleer; Wei Pan; Jun Wang; Zonghong Dai; Yaodong Yang (CoRR, 2023)

Confronting Reward Model Overoptimization with Constrained RLHF - Ted Moskovitz; Aaditya K. Singh; DJ Strouse; Tuomas Sandholm; Ruslan Salakhutdinov; Anca D. Dragan; Stephen McAleer (CoRR, 2023)

Llemma: An Open Language Model For Mathematics - Zhangir Azerbayev; Hailey Schoelkopf; Keiran Paster; Marco Dos Santos; Stephen McAleer; Albert Q. Jiang; Jia Deng; Stella Biderman; Sean Welleck (CoRR, 2023)

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

Sequential Decision Making in Single-Agent and Multi-Agent Domains - Stephen McAleer (University of California, Irvine, USA, 2022)

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

Independent Natural Policy Gradient always converges in Markov Potential Games - Roy Fox; Stephen M. McAleer; Will Overman; Ioannis Panageas (International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event, 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 (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 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 (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning - Yuanpei Chen; Tianhao Wu; Shengjie Wang; Xidong Feng; Jiechuan Jiang; Zongqing Lu; Stephen McAleer; Hao Dong; Song-Chun Zhu; Yaodong Yang (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning" (Version 1) - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas Anthony; Stephen McAleer; Romuald Elie; et al. (Zenodo, 2022)
Accessed on YYYY-MM-DD.

Anytime PSRO for Two-Player Zero-Sum Games - Stephen McAleer; Kevin Wang; 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; Yaodong Yang (CoRR, 2022)

ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret - Stephen McAleer; Gabriele Farina; Marc Lanctot; Tuomas Sandholm (CoRR, 2022)

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning - Yuanpei Chen; Yaodong Yang; Tianhao Wu; Shengjie Wang; Xidong Feng; Jiechuang Jiang; Stephen Marcus McAleer; Hao Dong; Zongqing Lu; 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; 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)

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 (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)

Neural Auto-Curricula in Two-Player Zero-Sum Games - Xidong Feng; Oliver Slumbers; Ziyu Wan; Bo Liu; Stephen McAleer; Ying Wen; Jun Wang; Yaodong Yang (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

XDO: A Double Oracle Algorithm for Extensive-Form Games - Stephen McAleer; John B. Lanier; Kevin A. Wang; Pierre Baldi; Roy Fox (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 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; Ziyu Wan; Bo Liu; Stephen McAleer; Ying Wen; Jun Wang (CoRR, 2021)

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

Independent Natural Policy Gradient Always Converges in Markov Potential Games - Roy Fox; Stephen McAleer; Will Overman; Ioannis Panageas (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)

Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination - Somdeb Majumdar; Shauharda Khadka; Santiago Miret; Stephen McAleer; Kagan Tumer (Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, 2020)

Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games - Stephen McAleer; John B. Lanier; Roy Fox; Pierre Baldi (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

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

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

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; Pierre Baldi (IEEE Trans. Ind. Informatics, 2019)

Solving the Rubik's Cube with Approximate Policy Iteration - Stephen McAleer; Forest Agostinelli; Alexander Shmakov; Pierre Baldi (7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019, 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 Without Human Knowledge - Stephen McAleer; Forest Agostinelli; Alexander Shmakov; Pierre Baldi (CoRR, 2018)