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1801.01290
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Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
4 January 2018
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
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Papers citing
"Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor"
19 / 1,669 papers shown
Title
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
6
738
0
05 Oct 2018
Boosting Trust Region Policy Optimization by Normalizing Flows Policy
Yunhao Tang
Shipra Agrawal
TPM
39
29
0
27 Sep 2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
Antonin Raffin
Ashley Hill
Kalifou René Traoré
Timothée Lesort
Natalia Díaz Rodríguez
David Filliat
OffRL
19
35
0
25 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
41
256
0
09 Sep 2018
Unity: A General Platform for Intelligent Agents
Arthur Juliani
Vincent-Pierre Berges
Esh Vckay
Andrew Cohen
Jonathan Harper
...
Chris Goy
Yuan Gao
Hunter Henry
Marwan Mattar
Danny Lange
39
808
0
07 Sep 2018
Policy Optimization as Wasserstein Gradient Flows
Ruiyi Zhang
Changyou Chen
Chunyuan Li
Lawrence Carin
21
66
0
09 Aug 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat
Anssi Kanervisto
Ville Hautamaki
26
2
0
26 Jul 2018
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
54
106
0
12 Jun 2018
Supervised Policy Update for Deep Reinforcement Learning
Q. Vuong
Yiming Zhang
Keith Ross
19
20
0
29 May 2018
A0C: Alpha Zero in Continuous Action Space
Thomas M. Moerland
Joost Broekens
Aske Plaat
Catholijn M. Jonker
19
48
0
24 May 2018
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
68
797
0
21 May 2018
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning
Elad Sarafian
Aviv Tamar
Sarit Kraus
OffRL
32
11
0
20 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
AI4CE
BDL
33
662
0
02 May 2018
Composable Deep Reinforcement Learning for Robotic Manipulation
Tuomas Haarnoja
Vitchyr H. Pong
Aurick Zhou
Murtaza Dalal
Pieter Abbeel
Sergey Levine
30
230
0
19 Mar 2018
Imitation Learning with Concurrent Actions in 3D Games
Jack Harmer
Linus Gisslén
Jorge del Val
Henrik Holst
Joakim Bergdahl
Tom Olsson
K. Sjöö
Magnus Nordin
21
45
0
14 Mar 2018
Policy Search in Continuous Action Domains: an Overview
Olivier Sigaud
F. Stulp
16
72
0
13 Mar 2018
Expected Policy Gradients for Reinforcement Learning
K. Ciosek
Shimon Whiteson
50
51
0
10 Jan 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
Bo Dai
Albert Eaton Shaw
Lihong Li
Lin Xiao
Niao He
Zhen Liu
Jianshu Chen
Le Song
34
25
0
29 Dec 2017
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning
Felix Leibfried
Jordi Grau-Moya
Haitham Bou-Ammar
38
24
0
06 Aug 2017
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