Research map / Multi-agent systems and games / Cooperative multi-agent RL
MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Reflective Policy Optimization (ICML 2024 · similarity 0.91)
- Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization (AAAI 2025 · similarity 0.89)
- Sample-Efficient Multiagent Reinforcement Learning with Reset Replay (ICML 2024 · similarity 0.87)
- Efficient Multi-agent Reinforcement Learning by Planning (ICLR 2024 · similarity 0.87)
- Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration (NeurIPS 2024 · similarity 0.87)
- Reflective Prompted Policy Optimization: Trajectory-Grounded Revision and Salience Bias (NeurIPS 2026 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.