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A Policy Efficient Reduction Approach to Convex Constrained Deep
  Reinforcement Learning

A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning

29 August 2021
Tianchi Cai
Wenpeng Zhang
Lihong Gu
Xiaodong Zeng
Jinjie Gu
ArXivPDFHTML

Papers citing "A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning"

8 / 8 papers shown
Title
Benchmarking Batch Deep Reinforcement Learning Algorithms
Benchmarking Batch Deep Reinforcement Learning Algorithms
Shih-Han Chou
Wen-Yen Chang
W. Hsu
Jianlong Fu
OffRL
52
182
0
03 Oct 2019
Safe Reinforcement Learning on Autonomous Vehicles
Safe Reinforcement Learning on Autonomous Vehicles
David Isele
A. Nakhaei
K. Fujimura
56
77
0
27 Sep 2019
Constrained Policy Optimization
Constrained Policy Optimization
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
91
1,313
0
30 May 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
40
830
0
11 Oct 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
166
8,805
0
04 Feb 2016
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
131
7,590
0
22 Sep 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
193
13,174
0
09 Sep 2015
Blackwell Approachability and Low-Regret Learning are Equivalent
Blackwell Approachability and Low-Regret Learning are Equivalent
Jacob D. Abernethy
Peter L. Bartlett
Elad Hazan
113
119
0
08 Nov 2010
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