Agnostic System Identification for Model-Based Reinforcement LearningSupplementary Material
نویسندگان
چکیده
Additional Notation: We first introduce additional notation not used in the paper that is useful in some proofs. In particular, we define dω,π the distribution of states at time t if we executed π from time step 1 to t−1, starting from distribution ω at time 1, and dω,π = (1 − γ) ∑∞ t=1 γ dω,π the discounted distribution of states over the infinite horizon if we follow π, starting in ω at time 1.
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