Reinforcement Learning

HyperDQN - Randomized Exploration for Deep Reinforcement Learning
Dec 14, 2021 12:00 AM NeurIPS 2021
Yingru LI
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HyperDQN - Randomized Exploration for Deep Reinforcement Learning
Divergence-augmented policy optimization
Stabilizing policy optimization when off-policy data are reused, addressing the data efficiency issue in RL for real-world problems.
Qing Wang*, Yingru Li* (equal), Jiechao Xiong, Tong Zhang
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