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Author

David Lo

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#reinforcement learning Open access Aug 2026

Learning from the Test: Self-Referential Differential Testing for Deep RL Agents

Delta (Differential Testing for DRL Agents) is proposed, a novel and comprehensive framework that automatically identifies both safety-critical and optimality bugs in DRL agents and investigates the effectiveness of three offline RL algorithms in generating challenger agents.

Jun-Da He, Jie-Ke Shi, Zhou Yang et al. · 0 citations

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