26 citations · 55 across the 5 of their papers we have counts for
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cs.AI2021★ 5 cited
Characterizing the Gap Between Actor-Critic and Policy Gradient
Junfeng Wen, Saurabh Kumar, Ramki Gummadi +1
Actor-critic (AC) methods are ubiquitous in reinforcement learning. Although it is understood that AC methods are closely related to policy gradient (PG), their precise connection…
cs.AI2018
Universal Successor Representations for Transfer Reinforcement Learning
Chen Ma, Junfeng Wen, Yoshua Bengio
The objective of transfer reinforcement learning is to generalize from a set of previous tasks to unseen new tasks. In this work, we focus on the transfer scenario where the dynami…