EnvOpt: Automated Optimization for Agent Environments
Results show that how information is represented to an agent shapes both its cost and its success, making the environment worth optimizing in addition to the parameters and the harness, making the environment worth optimizing in addition to the parameters and the harness.
Ming-Xuan Li, Huan-Zhi Mao, Qiu-Yang Mang et al.
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