arXiv AI
Certifying cooperation: a novel approach to cooperative multi-agent task generation
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UnifiedPlayers: Enhance Tool-Integrated Reasoning in Agentic Reinforcement Learning
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Coordination Graphs for Constrained Multi-Agent Reinforcement Learning
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ArenaFlow: From Trajectory Ranking to Hierarchical Credit Propagation for Open-Ended Agent RL
ArenaFlow is a hierarchical credit propagation framework designed to improve reinforcement learning for open-ended agent tasks. It uses tournament-based relative ranking to generate trajectory-level rewards and structured reflective evaluation to identify pivotal success steps, reusable strategy skills, and skill usage attribution. The framework propagates advantages to high-confidence steps and maintains a global skill memory, enabling more targeted optimization and reusable skill priors for future exploration.