Stephen McAleer

62 papers A* 15A 2Journal 43Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Alignment: A Contemporary Survey. ACM Comput. Surv. Jiaming Ji, Tianyi Qiu, Boyuan Chen, Jiayi Zhou, Borong Zhang, Donghai Hong, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Lukas Vierling, Zhaowei Zhang, Fanzhi Zeng, Juntao Dai, Xuehai Pan, Hua Xu, Aidan O'Gara, Kwan Ng, Brian Tse, Jie Fu, Stephen McAleer, Yanfeng Wang, Mingchuan Yang, Yunhuai Liu, Yizhou Wang, Song-Chun Zhu, Yike Guo, Yaodong Yang, Wen Gao
2025	A	`conf`	Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. AAMAS Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
2024	J	`jnl`	ASP: Learn a Universal Neural Solver! IEEE Trans. Pattern Anal. Mach. Intell. Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
2024	J	`jnl`	AgentKit: Flow Engineering with Graphs, not Coding. CoRR Yue Wu, Yewen Fan, So Yeon Min, Shrimai Prabhumoye, Stephen McAleer, Yonatan Bisk, Ruslan Salakhutdinov, Yuanzhi Li, Tom M. Mitchell
2024	A*	`conf`	Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. AAAI Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken
2024	J	`jnl`	Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. CoRR Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken
2024	J	`jnl`	Faster Game Solving via Hyperparameter Schedules. CoRR Naifeng Zhang, Stephen McAleer, Tuomas Sandholm
2024	A	`conf`	Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. AAMAS Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An
2024	J	`jnl`	Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. CoRR Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An
2024	A*	`conf`	Policy Space Response Oracles: A Survey. IJCAI Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek
2024	J	`jnl`	Policy Space Response Oracles: A Survey. CoRR Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek
2024	J	`jnl`	Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games. CoRR Xiaohang Tang, Chiyuan Wang, Chengdong Ma, Ilija Bogunovic, Stephen McAleer, Yaodong Yang
2024	A*	`conf`	Scalable Mechanism Design for Multi-Agent Path Finding. IJCAI Paul Friedrich, Yulun Zhang, Michael J. Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken
2024	J	`jnl`	Scalable Mechanism Design for Multi-Agent Path Finding. CoRR Paul Friedrich, Yulun Zhang, Michael J. Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken
2024	A*	`conf`	Steering No-Regret Learners to a Desired Equilibrium. EC Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
2024	J	`jnl`	Tree Search for Language Model Agents. CoRR Jing Yu Koh, Stephen McAleer, Daniel Fried, Ruslan Salakhutdinov
2023	J	`jnl`	AI Alignment: A Comprehensive Survey. CoRR 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
2023	J	`jnl`	ASP: Learn a Universal Neural Solver! CoRR Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
2023	A*	`conf`	Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games. EC Ioannis Anagnostides, Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Stephen McAleer
2023	J	`jnl`	Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games. CoRR Ioannis Anagnostides, Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Stephen McAleer
2023	A*	`conf`	Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. NeurIPS Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
2023	J	`jnl`	Confronting Reward Model Overoptimization with Constrained RLHF. CoRR Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen McAleer
2023	J	`jnl`	Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. CoRR Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
2023	J	`jnl`	Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. CoRR Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer
2023	J	`jnl`	JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. CoRR Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
2023	A*	`conf`	Language Models can Solve Computer Tasks. NeurIPS Geunwoo Kim, Pierre Baldi, Stephen McAleer
2023	J	`jnl`	Language Models can Solve Computer Tasks. CoRR Geunwoo Kim, Pierre Baldi, Stephen McAleer
2023	J	`jnl`	Llemma: An Open Language Model For Mathematics. CoRR Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck
2023	J	`jnl`	MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang
2023	A*	`conf`	Policy Space Diversity for Non-Transitive Games. NeurIPS Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
2023	J	`jnl`	Policy Space Diversity for Non-Transitive Games. CoRR Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
2023	A*	`conf`	Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning. NeurIPS Stephen McAleer, Gabriele Farina, Gaoyue Zhou, Mingzhi Wang, Yaodong Yang, Tuomas Sandholm
2022	J	`jnl`	Anytime PSRO for Two-Player Zero-Sum Games. CoRR Stephen McAleer, Kevin Wang, John B. Lanier, Marc Lanctot, Pierre Baldi, Tuomas Sandholm, Roy Fox
2022	J	`jnl`	ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret. CoRR Stephen McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm
2022	J	`jnl`	Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments. CoRR John B. Lanier, Stephen McAleer, Pierre Baldi, Roy Fox
2022	J	`jnl`	Game Theoretic Rating in N-player general-sum games with Equilibria. CoRR Luke Marris, Marc Lanctot, Ian Gemp, Shayegan Omidshafiei, Stephen McAleer, Jerome T. Connor, Karl Tuyls, Thore Graepel
2022	J	`jnl`	Learning Risk-Averse Equilibria in Multi-Agent Systems. CoRR Oliver Slumbers, David Henry Mguni, Stephen McAleer, Jun Wang, Yaodong Yang
2022	J	`jnl`	Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. CoRR 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
2022	A*	`conf`	Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. ICML Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
2022	J	`jnl`	Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. CoRR Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
2022	J	`jnl`	Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games. CoRR Stephen McAleer, John B. Lanier, Kevin A. Wang, Pierre Baldi, Roy Fox, Tuomas Sandholm
2022	—	`—`	Sequential Decision Making in Single-Agent and Multi-Agent Domains Stephen McAleer
2022	A*	`conf`	Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang
2021	J	`jnl`	A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks. CoRR Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi
2021	J	`jnl`	Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. CoRR Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang
2021	J	`jnl`	Improving Social Welfare While Preserving Autonomy via a Pareto Mediator. CoRR Stephen McAleer, John B. Lanier, Michael Dennis, Pierre Baldi, Roy Fox
2021	J	`jnl`	Independent Natural Policy Gradient Always Converges in Markov Potential Games. CoRR Roy Fox, Stephen McAleer, Will Overman, Ioannis Panageas
2021	A*	`conf`	Neural Auto-Curricula in Two-Player Zero-Sum Games. NeurIPS Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang
2021	J	`jnl`	Target Entropy Annealing for Discrete Soft Actor-Critic. CoRR Yaosheng Xu, Dailin Hu, Litian Liang, Stephen McAleer, Pieter Abbeel, Roy Fox
2021	J	`jnl`	Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates. CoRR Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
2021	A*	`conf`	XDO: A Double Oracle Algorithm for Extensive-Form Games. NeurIPS Stephen McAleer, John B. Lanier, Kevin A. Wang, Pierre Baldi, Roy Fox
2021	J	`jnl`	XDO: A Double Oracle Algorithm for Extensive-Form Games. CoRR Stephen McAleer, John B. Lanier, Pierre Baldi, Roy Fox
2020	J	`jnl`	Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging. CoRR Stephen McAleer, Alex Fast, Yuntian Xue, Magdalene Seiler, William Tang, Mihaela Balu, Pierre Baldi, Andrew W. Browne
2020	A*	`conf`	Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. ICML Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen McAleer, Kagan Tumer
2020	A*	`conf`	Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games. NeurIPS Stephen McAleer, John B. Lanier, Roy Fox, Pierre Baldi
2020	J	`jnl`	Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games. CoRR Stephen McAleer, John B. Lanier, Roy Fox, Pierre Baldi
2019	J	`jnl`	ColosseumRL: A Framework for Multiagent Reinforcement Learning in N-Player Games. CoRR Alexander Shmakov, John B. Lanier, Stephen McAleer, Rohan Achar, Cristina V. Lopes, Pierre Baldi
2019	J	`jnl`	Curiosity-Driven Multi-Criteria Hindsight Experience Replay. CoRR John B. Lanier, Stephen McAleer, Pierre Baldi
2019	J	`jnl`	Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning. IEEE Trans. Ind. Informatics Siyu Shao, Stephen McAleer, Ruqiang Yan, Pierre Baldi
2019	—	`conf`	Solving the Rubik's Cube with Approximate Policy Iteration. ICLR (Poster) Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi
2019	J	`jnl`	Solving the Rubik's cube with deep reinforcement learning and search. Nat. Mach. Intell. Forest Agostinelli, Stephen McAleer, Alexander Shmakov, Pierre Baldi
2018	J	`jnl`	Solving the Rubik's Cube Without Human Knowledge. CoRR Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi