Stephen Marcus McAleer

19 papers A* 12Journal 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
Faster Game Solving via Hyperparameter Schedules.
AAAI
Naifeng Zhang, Stephen Marcus McAleer, Tuomas Sandholm
2025 J jnl
Tree Search for Language Model Agents.
Trans. Mach. Learn. Res.
Jing Yu Koh, Stephen Marcus McAleer, Daniel Fried, Ruslan Salakhutdinov
2024 A* conf
AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training.
ICML
Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang
2024 A* conf
Confronting Reward Model Overoptimization with Constrained RLHF.
ICLR
Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen Marcus McAleer
2024 A* conf
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.
ICLR
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer
2024 A* conf
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks.
ICLR
Tim Franzmeyer, Stephen Marcus McAleer, João F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schröder de Witt
2024 A* conf
Llemma: An Open Language Model for Mathematics.
ICLR
Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen Marcus McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck
2024 A* conf
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games.
ICLR
Stephen Marcus McAleer, JB Lanier, Kevin A. Wang, Pierre Baldi, Tuomas Sandholm, Roy Fox
2023 A* conf
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems.
ICML
Oliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang, Jun Wang
2023 J jnl
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games.
CoRR
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
2023 A* conf
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret.
ICLR
Stephen Marcus McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm
2023 J jnl
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games.
Trans. Mach. Learn. Res.
Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
2023 A* conf
MANSA: Learning Fast and Slow in Multi-Agent Systems.
ICML
David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang
2023 A* conf
Regret-Minimizing Double Oracle for Extensive-Form Games.
ICML
Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang
2023 J jnl
Regret-Minimizing Double Oracle for Extensive-Form Games.
CoRR
Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang
2023 J jnl
Steering No-Regret Learners to Optimal Equilibria.
CoRR
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
2022 J jnl
Online Double Oracle.
Trans. Mach. Learn. Res.
Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou-Ammar, Yaodong Yang
2022 A* conf
Proving Theorems using Incremental Learning and Hindsight Experience Replay.
ICML
Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen Marcus McAleer, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad
2022 J jnl
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.
CoRR
Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu