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Found 2 papers, 1 papers with code
Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control
We found that the high dimensionality of the thermal dynamics model input hinders the efficiency of policy extraction.
Reward Bound for Behavioral Guarantee of Model-based Planning Agents
Recent years have seen an emerging interest in the trustworthiness of machine learning-based agents in the wild, especially in robotics, to provide safety assurance for the industry.
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