Stephen McAleer

Orcid: 0000-0003-0118-6874

According to our database¹, Stephen McAleer authored at least 51 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Policy Space Response Oracles: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Scalable Mechanism Design for Multi-Agent Path Finding.

[BibT_eX]

[DOI]

CoRR, 2024

Grasper: A Generalist Pursuer for Pursuit-Evasion Problems.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AI Alignment: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Llemma: An Open Language Model For Mathematics.

[BibT_eX]

[DOI]

CoRR, 2023

Confronting Reward Model Overoptimization with Constrained RLHF.

[BibT_eX]

[DOI]

CoRR, 2023

JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games.

[BibT_eX]

[DOI]

CoRR, 2023

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.

[BibT_eX]

[DOI]

CoRR, 2023

Steering No-Regret Learners to Optimal Equilibria.

[BibT_eX]

[DOI]

Stephen Marcus McAleer

Andreas Alexander Haupt

CoRR, 2023

ASP: Learn a Universal Neural Solver!

[BibT_eX]

[DOI]

CoRR, 2023

MANSA: Learning Fast and Slow in Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games.

[BibT_eX]

[DOI]

Ioannis Anagnostides

Fivos Kalogiannis

Ioannis Panageas

Emmanouil-Vasileios Vlatakis-Gkaragkounis

Stephen McAleer

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Policy Space Diversity for Non-Transitive Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Models can Solve Computer Tasks.

[BibT_eX]

[DOI]

Geunwoo Kim

Pierre Baldi

Stephen McAleer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Regret-Minimizing Double Oracle for Extensive-Form Games.

[BibT_eX]

[DOI]

Xiaohang Tang

Le Cong Dinh

Stephen Marcus McAleer

Yaodong Yang

Proceedings of the International Conference on Machine Learning, 2023

A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems.

[BibT_eX]

[DOI]

Oliver Slumbers

David Henry Mguni

Stefano B. Blumberg

Stephen Marcus McAleer

Yaodong Yang

Jun Wang

Proceedings of the International Conference on Machine Learning, 2023

MANSA: Learning Fast and Slow in Multi-Agent Systems.

[BibT_eX]

[DOI]

Stephen Marcus McAleer

Feifei Tong

Jun Wang

Yaodong Yang

Proceedings of the International Conference on Machine Learning, 2023

ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret.

[BibT_eX]

[DOI]

Stephen Marcus McAleer

Gabriele Farina

Marc Lanctot

Tuomas Sandholm

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Online Double Oracle.

[BibT_eX]

[DOI]

Le Cong Dinh

Stephen Marcus McAleer

Trans. Mach. Learn. Res., 2022

Game Theoretic Rating in N-player general-sum games with Equilibria.

[BibT_eX]

[DOI]

CoRR, 2022

Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments.

[BibT_eX]

[DOI]

CoRR, 2022

Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games.

[BibT_eX]

[DOI]

CoRR, 2022

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.

[BibT_eX]

[DOI]

Stephen Marcus McAleer

Hao Dong

Zongqing Lu

Song-Chun Zhu

CoRR, 2022

Learning Risk-Averse Equilibria in Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Anytime PSRO for Two-Player Zero-Sum Games.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Proving Theorems using Incremental Learning and Hindsight Experience Replay.

[BibT_eX]

[DOI]

Stephen Marcus McAleer

Proceedings of the International Conference on Machine Learning, 2022

Independent Natural Policy Gradient always converges in Markov Potential Games.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Target Entropy Annealing for Discrete Soft Actor-Critic.

[BibT_eX]

[DOI]

CoRR, 2021

Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Social Welfare While Preserving Autonomy via a Pareto Mediator.

[BibT_eX]

[DOI]

CoRR, 2021

Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games.

[BibT_eX]

[DOI]

CoRR, 2021

XDO: A Double Oracle Algorithm for Extensive-Form Games.

[BibT_eX]

[DOI]

CoRR, 2021

A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks.

[BibT_eX]

[DOI]

CoRR, 2021

XDO: A Double Oracle Algorithm for Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Auto-Curricula in Two-Player Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2019

Solving the Rubik's cube with deep reinforcement learning and search.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2019

ColosseumRL: A Framework for Multiagent Reinforcement Learning in N-Player Games.

[BibT_eX]

[DOI]

CoRR, 2019

Curiosity-Driven Multi-Criteria Hindsight Experience Replay.

[BibT_eX]

[DOI]

John B. Lanier

Stephen McAleer

Pierre Baldi

CoRR, 2019

Solving the Rubik's Cube with Approximate Policy Iteration.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Solving the Rubik's Cube Without Human Knowledge.

[BibT_eX]

[DOI]

CoRR, 2018

Stephen McAleer

Timeline

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