{"total":23,"rows":[{"id":"2112.11701","title":"Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination","created":"2021-12-22","cited_by_count":70,"area":null},{"id":"2302.01605","title":"Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased","created":"2023-02-03","cited_by_count":37,"area":null},{"id":"2206.07505","title":"Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning","created":"2022-06-15","cited_by_count":32,"area":null},{"id":"2204.02246","title":"Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization","created":"2022-04-04","cited_by_count":23,"area":null},{"id":"2108.01843","title":"Model-Based Opponent Modeling","created":"2021-08-04","cited_by_count":22,"area":null},{"id":"2207.14138","title":"Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity","created":"2022-07-28","cited_by_count":17,"area":null},{"id":"2306.16884","title":"Policy Space Diversity for Non-Transitive Games","created":"2023-06-29","cited_by_count":15,"area":null},{"id":"2310.15414","title":"Diverse Conventions for Human-AI Collaboration","created":"2023-10-24","cited_by_count":15,"area":null},{"id":"2106.08413","title":"Robust Reinforcement Learning Under Minimax Regret for Green Security","created":"2021-06-15","cited_by_count":12,"area":null},{"id":"2207.05631","title":"DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization","created":"2022-07-12","cited_by_count":10,"area":null},{"id":"2605.22817","title":"Vector Policy Optimization: Training for Diversity Improves Test-Time Search","created":"2026-05-21","cited_by_count":8,"area":null},{"id":"2108.12988","title":"Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning","created":"2021-08-30","cited_by_count":6,"area":null},{"id":"2305.11476","title":"Learning Diverse Risk Preferences in Population-based Self-play","created":"2023-05-19","cited_by_count":6,"area":null},{"id":"2511.12754","title":"Adaptively Coordinating with Novel Partners via Learned Latent Strategies","created":"2025-11-16","cited_by_count":4,"area":null},{"id":"2206.09046","title":"Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis","created":"2022-06-17","cited_by_count":3,"area":null},{"id":"2310.14509","title":"Iteratively Learn Diverse Strategies with State Distance Information","created":"2023-10-23","cited_by_count":3,"area":null},{"id":"2504.15457","title":"Improving Human-AI Coordination through Online Adversarial Training and Generative Models","created":"2025-04-21","cited_by_count":3,"area":null},{"id":"2305.00768","title":"Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas","created":"2023-05-01","cited_by_count":2,"area":null},{"id":"2306.01920","title":"Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning","created":"2023-06-02","cited_by_count":2,"area":null},{"id":"2310.04796","title":"Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning","created":"2023-10-07","cited_by_count":2,"area":null},{"id":"2302.10058","title":"Differentiable Arbitrating in Zero-sum Markov Games","created":"2023-02-20","cited_by_count":1,"area":null},{"id":"2308.15802","title":"Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO","created":"2023-08-30","cited_by_count":0,"area":null},{"id":"2412.03072","title":"Preference-based opponent shaping in differentiable games","created":"2024-12-04","cited_by_count":0,"area":null}],"next_cursor":null}