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Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised
  Action Spaces

Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces

10 May 2019
Craig J. Bester
Steven D. James
George Konidaris
ArXiv (abs)PDFHTML

Papers citing "Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces"

6 / 6 papers shown
Title
Hierarchical Approaches for Reinforcement Learning in Parameterized
  Action Space
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space
E. Wei
Drew Wicke
S. Luke
BDL
67
35
0
23 Oct 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with
  Discrete-Continuous Hybrid Action Space
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Jiechao Xiong
Qing Wang
Zhuoran Yang
Peng Sun
Lei Han
Yang Zheng
Haobo Fu
Tong Zhang
Ji Liu
Han Liu
50
171
0
10 Oct 2018
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRLODL
223
5,086
0
05 Jun 2016
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
91
3,769
0
20 Nov 2015
Deep Reinforcement Learning in Parameterized Action Space
Deep Reinforcement Learning in Parameterized Action Space
Matthew J. Hausknecht
Peter Stone
70
308
0
13 Nov 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
327
13,289
0
09 Sep 2015
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