Stephen McAleer

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 55

Top Topics

Approximate Policy Iteration

Reinforcement Learning

Human Knowledge

Top Venues

Publications

Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. AAAI (2024)
Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. CoRR (2024)
Naifeng Zhang, Stephen McAleer, Tuomas Sandholm
Faster Game Solving via Hyperparameter Schedules. CoRR (2024)
Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
ASP: Learn a Universal Neural Solver! IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. CoRR (2024)
Yue Wu, Yewen Fan, So Yeon Min, Shrimai Prabhumoye, Stephen McAleer, Yonatan Bisk, Ruslan Salakhutdinov, Yuanzhi Li, Tom M. Mitchell
AgentKit: Flow Engineering with Graphs, not Coding. CoRR (2024)
Jing Yu Koh, Stephen McAleer, Daniel Fried, Ruslan Salakhutdinov
Tree Search for Language Model Agents. CoRR (2024)
Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek
Policy Space Response Oracles: A Survey. CoRR (2024)
Paul Friedrich, Yulun Zhang, Michael Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken
Scalable Mechanism Design for Multi-Agent Path Finding. CoRR (2024)
Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. AAMAS (2024)
Geunwoo Kim, Pierre Baldi, Stephen McAleer
Language Models can Solve Computer Tasks. CoRR (2023)
Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen McAleer
Confronting Reward Model Overoptimization with Constrained RLHF. CoRR (2023)
Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. CoRR (2023)
Ioannis Anagnostides, Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Stephen McAleer
Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games. EC (2023)
Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
Policy Space Diversity for Non-Transitive Games. NeurIPS (2023)
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. CoRR (2023)
Ioannis Anagnostides, Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Stephen McAleer
Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games. CoRR (2023)
Geunwoo Kim, Pierre Baldi, Stephen McAleer
Language Models can Solve Computer Tasks. NeurIPS (2023)
Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. CoRR (2023)
Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
ASP: Learn a Universal Neural Solver! CoRR (2023)
Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck
Llemma: An Open Language Model For Mathematics. CoRR (2023)
Stephen McAleer, Gabriele Farina, Gaoyue Zhou, Mingzhi Wang, Yaodong Yang, Tuomas Sandholm
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning. NeurIPS (2023)
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, Juntao Dai, Xuehai Pan, Aidan O'Gara, Yingshan Lei, Hua Xu, Brian Tse, Jie Fu, Stephen McAleer, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Yike Guo, Wen Gao
AI Alignment: A Comprehensive Survey. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. NeurIPS (2023)
Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
Policy Space Diversity for Non-Transitive Games. CoRR (2023)
David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang
MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR (2023)
Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS (2022)
Stephen McAleer, John B. Lanier, Kevin A. Wang, Pierre Baldi, Roy Fox, Tuomas Sandholm
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games. CoRR (2022)
Stephen McAleer, Kevin Wang, John B. Lanier, Marc Lanctot, Pierre Baldi, Tuomas Sandholm, Roy Fox
Anytime PSRO for Two-Player Zero-Sum Games. CoRR (2022)
Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. ICML (2022)
John B. Lanier, Stephen McAleer, Pierre Baldi, Roy Fox
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments. CoRR (2022)
Stephen McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret. CoRR (2022)
Oliver Slumbers, David Henry Mguni, Stephen McAleer, Jun Wang, Yaodong Yang
Learning Risk-Averse Equilibria in Multi-Agent Systems. CoRR (2022)
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, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. CoRR (2022)
Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. CoRR (2022)
Luke Marris, Marc Lanctot, Ian Gemp, Shayegan Omidshafiei, Stephen McAleer, Jerome T. Connor, Karl Tuyls, Thore Graepel
Game Theoretic Rating in N-player general-sum games with Equilibria. CoRR (2022)
Roy Fox, Stephen McAleer, Will Overman, Ioannis Panageas
Independent Natural Policy Gradient Always Converges in Markov Potential Games. CoRR (2021)
Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates. CoRR (2021)
Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks. CoRR (2021)
Stephen McAleer, John B. Lanier, Michael Dennis, Pierre Baldi, Roy Fox
Improving Social Welfare While Preserving Autonomy via a Pareto Mediator. CoRR (2021)
Yaosheng Xu, Dailin Hu, Litian Liang, Stephen McAleer, Pieter Abbeel, Roy Fox
Target Entropy Annealing for Discrete Soft Actor-Critic. CoRR (2021)
Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang
Neural Auto-Curricula in Two-Player Zero-Sum Games. NeurIPS (2021)
Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang
Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. CoRR (2021)
Stephen McAleer, John B. Lanier, Pierre Baldi, Roy Fox
XDO: A Double Oracle Algorithm for Extensive-Form Games. CoRR (2021)
Stephen McAleer, John B. Lanier, Kevin A. Wang, Pierre Baldi, Roy Fox
XDO: A Double Oracle Algorithm for Extensive-Form Games. NeurIPS (2021)
Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen McAleer, Kagan Tumer
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. ICML (2020)
Stephen McAleer, Alex Fast, Yuntian Xue, Magdalene Seiler, William Tang, Mihaela Balu, Pierre Baldi, Andrew W. Browne
Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging. CoRR (2020)
Stephen McAleer, John B. Lanier, Roy Fox, Pierre Baldi
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games. NeurIPS (2020)
Stephen McAleer, John B. Lanier, Roy Fox, Pierre Baldi
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games. CoRR (2020)
John B. Lanier, Stephen McAleer, Pierre Baldi
Curiosity-Driven Multi-Criteria Hindsight Experience Replay. CoRR (2019)
Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi
Solving the Rubik's Cube with Approximate Policy Iteration. ICLR (Poster) (2019)
Alexander Shmakov, John B. Lanier, Stephen McAleer, Rohan Achar, Cristina V. Lopes, Pierre Baldi
ColosseumRL: A Framework for Multiagent Reinforcement Learning in N-Player Games. CoRR (2019)
Siyu Shao, Stephen McAleer, Ruqiang Yan, Pierre Baldi
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning. IEEE Trans. Ind. Informatics 15 (4) (2019)
Forest Agostinelli, Stephen McAleer, Alexander Shmakov, Pierre Baldi
Solving the Rubik's cube with deep reinforcement learning and search. Nat. Mach. Intell. 1 (8) (2019)
Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi
Solving the Rubik's Cube Without Human Knowledge. CoRR (2018)