Stephen Marcus McAleer

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Reinforcement Learning

Top Venues

Trans. Mach. Learn. Res.

Publications

Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen Marcus McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck
Llemma: An Open Language Model for Mathematics. ICLR (2024)
Stephen Marcus McAleer, JB Lanier, Kevin A. Wang, Pierre Baldi, Tuomas Sandholm, Roy Fox
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games. ICLR (2024)
Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen Marcus McAleer
Confronting Reward Model Overoptimization with Constrained RLHF. ICLR (2024)
Tim Franzmeyer, Stephen Marcus McAleer, João F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schröder de Witt
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. ICLR (2024)
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. ICLR (2024)
Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. Trans. Mach. Learn. Res. 2023 (2023)
David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang
MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Steering No-Regret Learners to Optimal Equilibria. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. CoRR (2023)
Stephen Marcus McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret. ICLR (2023)
Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang
Regret-Minimizing Double Oracle for Extensive-Form Games. CoRR (2023)
Oliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang, Jun Wang
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems. ICML (2023)
Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang
Regret-Minimizing Double Oracle for Extensive-Form Games. ICML (2023)
Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. CoRR (2022)
Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou-Ammar, Yaodong Yang
Online Double Oracle. Trans. Mach. Learn. Res. 2022 (2022)