73 citations · 327 across the 42 of their papers we have counts for
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cs.AI2018★ 20 cited
Boosting Trust Region Policy Optimization by Normalizing Flows Policy
Yunhao Tang, Shipra Agrawal
We propose to improve trust region policy search with normalizing flows policy. We illustrate that when the trust region is constructed by KL divergence constraints, normalizing fl…
cs.LG2018★ 10 cited
Exploration by Distributional Reinforcement Learning
Yunhao Tang, Shipra Agrawal
We propose a framework based on distributional reinforcement learning and recent attempts to combine Bayesian parameter updates with deep reinforcement learning. We show that our p…
cs.LG2018★ 6 cited
Implicit Policy for Reinforcement Learning
Yunhao Tang, Shipra Agrawal
We introduce Implicit Policy, a general class of expressive policies that can flexibly represent complex action distributions in reinforcement learning, with efficient algorithms t…