FIELD NOTES TOPIC

rule-based policies

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  1. ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies

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    Researchers introduce ORCAID, a method for extracting interpretable rule-based policies from reinforcement learning (RL) agents in complex environments with continuous action spaces. The method uses an efficient…