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Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
2021-10-04 · NeurIPS 2021 12
· Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song
Offline reinforcement learning (offline RL), which aims to find an optimal policy from a previously collected static dataset, bears algorithmic difficulties due to function approximation errors from out-of-distribution (…
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