Game-Playing Agents

Follow this topic Ask about this topic

Momentum

14 papers in the last four weeks, up 75% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 119

All topics

AlphaExploitem: Going Beyond the Nash Equilibrium in Poker by Learning to Exploit Suboptimal Play
May 9, 2026Vlad Murgoci, Matthijs Spaan, Yaniv OrenOpponent Modeling Game-Playing Agents
Delft University of Technology · CD Delft, The Netherlands · Department of Intelligent Systems
Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners
May 8, 2026Botos Csaba, Sreejan Kumar, Austin Tudor David Andrews +6Game-Playing Agents Human Behavior Simulation
University of Oxford · Columbia University · New York University +2
Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark
May 7, 2026Cristiano da Costa Cunha, Ajmal Mian, Tim French +1RL Benchmarks Structural Causal Models
Department of Computer Science and Software Engineering, University of Western Australia, 6009 WA Australia
Strat-Reasoner: Reinforcing Strategic Reasoning of LLMs in Multi-Agent Games
May 6, 2026Yidong He, Yutao Lai, Pengxu Yang +4Game-Playing Agents RL for Language Model Reasoning
School of Software Engineering, South China University of Technology · Department of Computer Science, University of Oxford
Agent Island: A Saturation- and Contamination-Resistant Benchmark from Multiagent Games
May 5, 2026Connacher MurphyGame-Playing Agents Benchmark Design
Stanford University
A Structural Threshold in Decision Capacity Governs Collapse in Self-Play Reinforcement Learning
May 4, 2026Arahan KujurGame-Playing Agents Self-Play RL
Independent Researcher
Neuromorphic Control for 3D Navigation in Minecraft Using Genetic Algorithms
May 4, 2026Eric ZiporGame-Playing Agents Neuroevolution
Department of Electrical and Computer Engineering George Mason University, Fairfax, VA, USA
How Personas Can Influence Agents to Play Split or Steal
May 3, 2026Carlos Leon, Alexandre Rodrigues, Pedro Gamito +1Game-Playing Agents LLM Agent Evaluation
Universidade Lusófona, Portugal · Universitat de Barcelona, Spain · Université Paris Cité, France +1
Interpretable experiential learning based on state history and global feedback
May 1, 2026Anton KoloninReinforcement Learning Game-Playing Agents
1The Artificial Intelligence Research Center, Novosibirsk State University, Russia · 2Aigents, Russia.
StratFormer: Adaptive Opponent Modeling and Exploitation in Imperfect-Information Games
Apr 28, 2026Andy Caen, Mark H. M. Winands, Dennis J. N. J. SoemersOpponent Modeling Game-Playing Agents
Department of Advanced Computing Sciences, Maastricht University, Maastricht, The Netherlands
Don't Make the LLM Read the Graph: Make the Graph Think
Apr 24, 2026Yuqi Sun, Tianqin Meng, George Liu +4Multi-Agent Coordination Game-Playing Agents
Mindoverflow · University of Waterloo · Carnegie Mellon University +4
Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models
Apr 23, 2026Chee Wei Tan, Yuchen Wang, Shangxin GuoGame-Playing Agents LLM Agents
Nanyang Technological University, Singapore, Nanyang Ave., Singapore · Nautilus Software Technologies Limited, Hong Kong.
Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks
Apr 22, 2026Xiyang Wu, Zongxia Li, Guangyao Shi +5Continual Learning for LLM Agents Game-Playing Agents
University of Maryland · University of Southern California · Good Start Labs +2
Trust, Lies, and Long Memories: Emergent Social Dynamics and Reputation in Multi-Round Avalon with LLM Agents
Apr 22, 2026Suveen EllawelaMulti-Agent LLM Systems Game-Playing Agents
National University of Singapore
Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative Game
Apr 22, 2026Saad MankariousMulti-Agent Coordination Game-Playing Agents
Revac: A Social Deduction Reasoning Agent
Apr 21, 2026Mihir Shriniwas Arya, Avinash Anish, Aditya RanjanGame-Playing Agents Social Deduction Games
Department of Computer Science and Engineering RV College of Engineering Bangalore · Department of Information Science and Engineering RV College of Engineering Bangalore · Department of Artificial Intelligence and Machine Learning RV College of Engineering Bangalore
Study and Improvement of Search Algorithms in Multi-Player Perfect-Information Games
Apr 19, 2026Quentin Cohen-SolalGame-Playing Agents Tree Search
LAMSADE, Universit´e Paris-Dauphine, PSL, CNRS, Paris, France
M2-PALE: A Framework for Explaining Multi-Agent MCTS--Minimax Hybrids via Process Mining and LLMs
Apr 16, 2026Yiyu Qian, Liyuan Zhao, Tim MillerExplainable Artificial Intelligence Game-Playing Agents
RMIT University, Melbourne, Victoria 3000, Australia · University of California, Irvine, Irvine, CA 92617, USA · University of Queensland, Brisbane, Queensland 4072, Australia
Two-Bridge: Exclusive Objectives and Extended Horizon StarCraft II Benchmark
Feb 19, 2026Sourav Panda, Tanmay Ambadkar, Shreyash Kale +2RL Benchmarks Game-Playing Agents
Pennsylvania State University, PA, USA.
Scalable Decision Making for Games of Imperfect Information
Nov 10, 2025Samuel Sokota, Eugene Vinitsky, Hengyuan Hu +3Game-Playing Agents Inference-Time Search
Carnegie Mellon University · NYU Tandon School of Engineering · Stanford University +1
PuzzleJAX: A Benchmark for Reasoning and Learning
Aug 22, 2025Sam Earle, Graham Todd, Yuchen Li +5RL Benchmarks Game-Playing Agents
New York University · University of Malta · University of the Witwatersrand +1
Unbeatable imitation of a friend
Jul 22, 2025Masahiko UedaGame-Playing Agents Game Theory
Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 1677-1, Yoshida, Yamaguchi, 753-8511, Japan.
StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley
Jul 10, 2025Weihao Tan, Changjiu Jiang, Yu Duan +5Game-Playing Agents Agent Evaluation
Nanyang Technological University, Singapore · Harbin Institute of Technology, Shenzhen, China · The Chinese University of Hong Kong, Shenzhen, China +1
Policy Improvement with Style-Specific Demonstrations
Jun 20, 2025Lingfeng Li, Yunlong Lu, Yongyi Wang +1Reinforcement Learning Game-Playing Agents
School of Computer Science, Peking University, Beijing 100871, China
Reinforcement learning for Quantum Tiq-Taq-Toe
Nov 10, 2024Catalin-Viorel Dinu, Thomas MoerlandReinforcement Learning Game-Playing Agents
Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
Nov 16, 2023Alexander Rutherford, Benjamin Ellis, Matteo Gallici +18RL Benchmarks Reinforcement Learning
University of Oxford · Universitat Politècnica de Catalunya · University College London +2
Expected flow networks in stochastic environments and two-player zero-sum games
Oct 4, 2023Marco Jiralerspong, Bilun Sun, Danilo Vucetic +4Game-Playing Agents Zero-Sum Games
Mila – Qu´ebec AI Institute, Universit´e de Montr´eal
Playing 20 Question Game with Policy-Based Reinforcement Learning
Aug 23, 2018Huang Hu, Xianchao Wu, Bingfeng Luo +4Reinforcement Learning Game-Playing Agents
1Peking University, Beijing, China · 3Microsoft Development Co., Ltd, Tokyo, Japan · 2Microsoft Corporation, Beijing, China
GameWAM: A World Action Model for Video Games
Date pendingYuncheng Guo, Zhanqiu Zhang, Yiwen Guo +1Action-Conditioned Video Generation Game-Playing Agents
Fudan University · LIGHTSPEED · Independent Researcher +1

May 9, 2026, cs.LGJ/K move · Enter open · S save

AlphaExploitem: Going Beyond the Nash Equilibrium in Poker by Learning to Exploit Suboptimal Play

Vlad Murgoci, Matthijs Spaan, Yaniv Oren

Delft University of Technology · CD Delft, The Netherlands · Department of Intelligent Systems

Opponent Modeling Game-Playing Agents Imperfect-Information Games Game Theory

Open paper AskPDF arXiv

Poker is an imperfect information game that has served as a long-standing benchmark for decision-making under uncertainty. To maximize utility beyond the Nash equilibrium, an agent can deviate from Nash-equilibrium policies to exploit suboptimal play. We introduce AlphaExploitem, which extends the competitive RL poker agent AlphaHoldem by using a hierarchical transformer encoder that enables reasoning over previously played hands and modifying the training procedure with the inclusion of a diverse pool of exploitable opponents to facilitate learning to exploit. We train and evaluate AlphaExploitem on two standard benchmarks for imperfect-information games. Empirically, AlphaExploitem successfully exploits weak play by both in- and out-of-distribution opponents, without losing performance against NE opponents.

Momentum

Related topics

Latest papers 119