AI RESEARCH
Certificate-Guided Evaluation of Reinforcement Learning Generalization
arXiv CS.AI
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ArXi:2606.00840v1 Announce Type: new This work presents a logic-driven framework to evaluate the performance of reinforcement learning (RL) algorithms in their ability to generalize to unseen tasks. Our framework defines a family of inductive reach-avoid tasks, characterized by structural similarities in task dynamics, enabling evaluation of generalization capabilities.