{"total":19,"rows":[{"id":"2107.12808","title":"Open-Ended Learning Leads to Generally Capable Agents","created":"2021-07-27","cited_by_count":182,"area":null},{"id":"2202.07415","title":"NeuPL: Neural Population Learning","created":"2022-02-15","cited_by_count":14,"area":null},{"id":"2203.07322","title":"Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation","created":"2022-03-14","cited_by_count":14,"area":null},{"id":"2207.06541","title":"Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games","created":"2022-07-13","cited_by_count":11,"area":null},{"id":"2109.10870","title":"SoK: Machine Learning Governance","created":"2021-09-20","cited_by_count":10,"area":null},{"id":"2210.09257","title":"Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers","created":"2022-10-17","cited_by_count":10,"area":null},{"id":"2403.02227","title":"Policy Space Response Oracles: A Survey","created":"2024-03-04","cited_by_count":10,"area":null},{"id":"2208.10138","title":"Learning Correlated Equilibria in Mean-Field Games","created":"2022-08-22","cited_by_count":6,"area":null},{"id":"2302.00797","title":"Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning","created":"2023-02-01","cited_by_count":6,"area":null},{"id":"2401.05133","title":"Neural Population Learning beyond Symmetric Zero-sum Games","created":"2024-01-10","cited_by_count":4,"area":null},{"id":"2210.02205","title":"Game Theoretic Rating in N-player general-sum games with Equilibria","created":"2022-10-05","cited_by_count":3,"area":null},{"id":"2310.11518","title":"Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability","created":"2023-10-17","cited_by_count":3,"area":null},{"id":"2209.10958","title":"Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments","created":"2022-09-22","cited_by_count":2,"area":null},{"id":"2301.11481","title":"Are Equivariant Equilibrium Approximators Beneficial?","created":"2023-01-27","cited_by_count":2,"area":null},{"id":"2306.07372","title":"Composing Efficient, Robust Tests for Policy Selection","created":"2023-06-12","cited_by_count":1,"area":null},{"id":"2404.11144","title":"Self-adaptive PSRO: Towards an Automatic Population-based Game Solver","created":"2024-04-17","cited_by_count":1,"area":null},{"id":"2405.11746","title":"Configurable Mirror Descent: Towards a Unification of Decision Making","created":"2024-05-20","cited_by_count":1,"area":null},{"id":"2603.00374","title":"Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning","created":"2026-02-27","cited_by_count":1,"area":null},{"id":"2603.06977","title":"NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning","created":"2026-03-07","cited_by_count":0,"area":null}],"next_cursor":null}