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#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

15 November 2016
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
    OffRL
ArXivPDFHTML

Papers citing "#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning"

34 / 134 papers shown
Title
Non-local Policy Optimization via Diversity-regularized Collaborative
  Exploration
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration
Zhenghao Peng
Hao Sun
Bolei Zhou
13
18
0
14 Jun 2020
Adaptive Reward-Free Exploration
Adaptive Reward-Free Exploration
E. Kaufmann
Pierre Ménard
O. D. Domingues
Anders Jonsson
Edouard Leurent
Michal Valko
27
79
0
11 Jun 2020
Novel Policy Seeking with Constrained Optimization
Novel Policy Seeking with Constrained Optimization
Hao Sun
Zhenghao Peng
Bo Dai
Jian Guo
Dahua Lin
Bolei Zhou
11
13
0
21 May 2020
First return, then explore
First return, then explore
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
47
349
0
27 Apr 2020
Self-Paced Deep Reinforcement Learning
Self-Paced Deep Reinforcement Learning
Pascal Klink
Carlo DÉramo
Jan Peters
Joni Pajarinen
ODL
29
54
0
24 Apr 2020
Agent57: Outperforming the Atari Human Benchmark
Agent57: Outperforming the Atari Human Benchmark
Adria Puigdomenech Badia
Bilal Piot
Steven Kapturowski
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Charles Blundell
OffRL
13
509
0
30 Mar 2020
An Exploration of Embodied Visual Exploration
An Exploration of Embodied Visual Exploration
Santhosh Kumar Ramakrishnan
Dinesh Jayaraman
Kristen Grauman
LM&Ro
30
98
0
07 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
34
188
0
23 Dec 2019
Kinematic State Abstraction and Provably Efficient Rich-Observation
  Reinforcement Learning
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Kumar Misra
Mikael Henaff
A. Krishnamurthy
John Langford
13
151
0
13 Nov 2019
Multi-Path Policy Optimization
Multi-Path Policy Optimization
L. Pan
Qingpeng Cai
Longbo Huang
18
2
0
11 Nov 2019
Influence-Based Multi-Agent Exploration
Influence-Based Multi-Agent Exploration
Tonghan Wang
Jianhao Wang
Yi Wu
Chongjie Zhang
16
137
0
12 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms
Benchmarking Batch Deep Reinforcement Learning Algorithms
Shih-Han Chou
Wen-Yen Chang
W. Hsu
Jianlong Fu
OffRL
13
181
0
03 Oct 2019
Optimistic Proximal Policy Optimization
Optimistic Proximal Policy Optimization
Takahisa Imagawa
Takuya Hiraoka
Yoshimasa Tsuruoka
10
4
0
25 Jun 2019
Learning-Driven Exploration for Reinforcement Learning
Learning-Driven Exploration for Reinforcement Learning
Muhammad Usama
D. Chang
15
10
0
17 Jun 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep
  Reinforcement Learning
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning
Sandy H. Huang
Martina Zambelli
Jackie Kay
M. Martins
Yuval Tassa
P. Pilarski
R. Hadsell
12
50
0
20 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRL
SSL
28
269
0
08 Mar 2019
Never Forget: Balancing Exploration and Exploitation via Learning
  Optical Flow
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow
Hsuan-Kung Yang
Po-Han Chiang
Kuan-Wei Ho
Min-Fong Hong
Chun-Yi Lee
24
7
0
24 Jan 2019
A Short Survey on Probabilistic Reinforcement Learning
A Short Survey on Probabilistic Reinforcement Learning
R. Russel
11
2
0
21 Jan 2019
Exploration Bonus for Regret Minimization in Undiscounted Discrete and
  Continuous Markov Decision Processes
Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes
Jian Qian
Ronan Fruit
Matteo Pirotta
A. Lazaric
6
10
0
11 Dec 2018
Provably Efficient Maximum Entropy Exploration
Provably Efficient Maximum Entropy Exploration
Elad Hazan
Sham Kakade
Karan Singh
A. V. Soest
25
292
0
06 Dec 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional
  Neural Networks
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
Fabio Pardo
Vitaly Levdik
Petar Kormushev
19
4
0
06 Oct 2018
Episodic Curiosity through Reachability
Episodic Curiosity through Reachability
Nikolay Savinov
Anton Raichuk
Raphaël Marinier
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
9
266
0
04 Oct 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
A. Laversanne-Finot
Alexandre Péré
Pierre-Yves Oudeyer
DRL
19
87
0
04 Jul 2018
Fast Exploration with Simplified Models and Approximately Optimistic
  Planning in Model Based Reinforcement Learning
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning
Ramtin Keramati
Jay Whang
Patrick Cho
Emma Brunskill
OffRL
21
7
0
01 Jun 2018
Learning Self-Imitating Diverse Policies
Learning Self-Imitating Diverse Policies
Tanmay Gangwani
Qiang Liu
Jian Peng
14
65
0
25 May 2018
Evolved Policy Gradients
Evolved Policy Gradients
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
32
227
0
13 Feb 2018
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
32
2,774
0
19 Aug 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
11
2,291
0
05 Jul 2017
Count-Based Exploration in Feature Space for Reinforcement Learning
Count-Based Exploration in Feature Space for Reinforcement Learning
Jarryd Martin
S. N. Sasikumar
Tom Everitt
Marcus Hutter
24
122
0
25 Jun 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
55
497
0
17 May 2017
Deep Exploration via Randomized Value Functions
Deep Exploration via Randomized Value Functions
Ian Osband
Benjamin Van Roy
Daniel Russo
Zheng Wen
33
301
0
22 Mar 2017
Count-Based Exploration with Neural Density Models
Count-Based Exploration with Neural Density Models
Georg Ostrovski
Marc G. Bellemare
Aaron van den Oord
Rémi Munos
22
613
0
03 Mar 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
239
2,547
0
25 Jan 2016
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