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Reinforcement Learning Architectures: SAC, TAC, and ESAC

Reinforcement Learning Architectures: SAC, TAC, and ESAC

5 April 2020
Ala’eddin Masadeh
Zhengdao Wang
A. Kamal
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Papers citing "Reinforcement Learning Architectures: SAC, TAC, and ESAC"

5 / 5 papers shown
Title
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
120
2,809
0
19 Aug 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with
  Model-Free Fine-Tuning
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
Anusha Nagabandi
G. Kahn
R. Fearing
Sergey Levine
91
973
0
08 Aug 2017
Data-Efficient Policy Evaluation Through Behavior Policy Search
Data-Efficient Policy Evaluation Through Behavior Policy Search
Josiah P. Hanna
Philip S. Thomas
Peter Stone
S. Niekum
OffRL
58
43
0
12 Jun 2017
Continuous Deep Q-Learning with Model-based Acceleration
Continuous Deep Q-Learning with Model-based Acceleration
S. Gu
Timothy Lillicrap
Ilya Sutskever
Sergey Levine
86
1,012
0
02 Mar 2016
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
310
13,214
0
09 Sep 2015
1