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memory bounded planning (1) memory bounded (1) value-equivalent model (1) afterstate model (1) open-loop planning (1) stochastic model (1) partially observable planning (1) thompson sampling (1) model-based reinforcement learning (1) partially observable markov decision process (1)

Papers

Planning in Stochastic Environments with a Learned Model ICLR 2022 Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling AAAI 2019