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Addressing Function Approximation Error in Actor-Critic Methods
v1v2v3 (latest)

Addressing Function Approximation Error in Actor-Critic Methods

26 February 2018
Scott Fujimoto
H. V. Hoof
David Meger
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Addressing Function Approximation Error in Actor-Critic Methods"

30 / 2,180 papers shown
Title
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater
  Sample Efficiency and Simplicity
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
Aditya Bhatt
Daniel Palenicek
Boris Belousov
Max Argus
Artemij Amiranashvili
Thomas Brox
Jan Peters
122
57
0
14 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions
Artificial Intelligence for Prosthetics - challenge solutions
L. Kidzinski
Carmichael F. Ong
Sharada Mohanty
Jennifer Hicks
Sean F. Carroll
...
E. Tumer
J. Watson
M. Salathé
Sergey Levine
Scott L. Delp
55
42
0
07 Feb 2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy
  Reinforcement Learning
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning
Kyungjae Lee
Sungyub Kim
Sungbin Lim
Sungjoon Choi
Songhwai Oh
145
28
0
31 Jan 2019
Discretizing Continuous Action Space for On-Policy Optimization
Discretizing Continuous Action Space for On-Policy Optimization
Yunhao Tang
Shipra Agrawal
OffRL
103
124
0
29 Jan 2019
Hierarchical Reinforcement Learning via Advantage-Weighted Information
  Maximization
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
Takayuki Osa
Voot Tangkaratt
Masashi Sugiyama
OffRL
57
27
0
05 Jan 2019
Learning to Walk via Deep Reinforcement Learning
Learning to Walk via Deep Reinforcement Learning
Tuomas Haarnoja
Sehoon Ha
Aurick Zhou
Jie Tan
George Tucker
Sergey Levine
137
442
0
26 Dec 2018
TD-Regularized Actor-Critic Methods
TD-Regularized Actor-Critic Methods
Simone Parisi
Voot Tangkaratt
Jan Peters
Mohammad Emtiyaz Khan
OffRL
61
31
0
19 Dec 2018
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
157
2,456
0
13 Dec 2018
Residual Reinforcement Learning for Robot Control
Residual Reinforcement Learning for Robot Control
T. Johannink
Shikhar Bahl
Ashvin Nair
Jianlan Luo
Avinash Kumar
M. Loskyll
J. A. Ojea
Eugen Solowjow
Sergey Levine
OffRL
90
420
0
07 Dec 2018
Off-Policy Deep Reinforcement Learning without Exploration
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRLBDL
270
1,626
0
07 Dec 2018
Understanding the impact of entropy on policy optimization
Understanding the impact of entropy on policy optimization
Zafarali Ahmed
Nicolas Le Roux
Mohammad Norouzi
Dale Schuurmans
83
238
0
27 Nov 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard
  Exploration Environments
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments
Qihao Liu
Yujia Wang
Xiao-Fei Liu
82
8
0
26 Nov 2018
VIREL: A Variational Inference Framework for Reinforcement Learning
VIREL: A Variational Inference Framework for Reinforcement Learning
M. Fellows
Anuj Mahajan
Tim G. J. Rudner
Shimon Whiteson
DRL
106
56
0
03 Nov 2018
Quasi-hyperbolic momentum and Adam for deep learning
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma
Denis Yarats
ODL
159
130
0
16 Oct 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement
  Learning
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Cédric Colas
Pierre Fournier
Olivier Sigaud
Mohamed Chetouani
Pierre-Yves Oudeyer
101
40
0
15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
119
569
0
12 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy
  search
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Aloïs Pourchot
Olivier Sigaud
97
161
0
02 Oct 2018
SmartChoices: Hybridizing Programming and Machine Learning
SmartChoices: Hybridizing Programming and Machine Learning
Victor Carbune
Thierry Coppey
A. Daryin
Thomas Deselaers
Nikhil Sarda
J. Yagnik
27
2
0
01 Oct 2018
A Learning Framework for High Precision Industrial Assembly
A Learning Framework for High Precision Industrial Assembly
Yongxiang Fan
Jieliang Luo
Masayoshi Tomizuka
OffRL
92
50
0
23 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward
  Bias in Adversarial Imitation Learning
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
111
259
0
09 Sep 2018
Visual Reinforcement Learning with Imagined Goals
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
91
544
0
12 Jul 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value
  Expansion
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Jacob Buckman
Danijar Hafner
George Tucker
E. Brevdo
Honglak Lee
95
333
0
04 Jul 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic
  Manipulation
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov
A. Irpan
P. Pastor
Julian Ibarz
Alexander Herzog
...
Deirdre Quillen
E. Holly
Mrinal Kalakrishnan
Vincent Vanhoucke
Sergey Levine
151
1,473
0
27 Jun 2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
J. Matas
Stephen James
Andrew J. Davison
AI4CE
73
361
0
20 Jun 2018
Learning Self-Imitating Diverse Policies
Learning Self-Imitating Diverse Policies
Tanmay Gangwani
Qiang Liu
Jian Peng
92
68
0
25 May 2018
Data-Efficient Hierarchical Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
102
813
0
21 May 2018
Evolution-Guided Policy Gradient in Reinforcement Learning
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka
Kagan Tumer
132
232
0
21 May 2018
Policy Search in Continuous Action Domains: an Overview
Policy Search in Continuous Action Domains: an Overview
Olivier Sigaud
F. Stulp
122
72
0
13 Mar 2018
Expected Policy Gradients for Reinforcement Learning
Expected Policy Gradients for Reinforcement Learning
K. Ciosek
Shimon Whiteson
116
53
0
10 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
321
8,455
0
04 Jan 2018
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