36 citations · 99 across the 15 of their papers we have counts for
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cs.LG2021★ 6 cited
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
Weitong Zhang, Dongruo Zhou, Quanquan Gu
We study the model-based reward-free reinforcement learning with linear function approximation for episodic Markov decision processes (MDPs). In this setting, the agent works in tw…
cs.LG2021★ 4 cited
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL
Weitong Zhang, Jiafan He, Dongruo Zhou +2
The success of deep reinforcement learning (DRL) lies in its ability to learn a representation that is well-suited for the exploration and exploitation task. To understand how the…