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1611.04717
Cited By
#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
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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
Zhenghao Peng
Hao Sun
Bolei Zhou
13
18
0
14 Jun 2020
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
Hao Sun
Zhenghao Peng
Bo Dai
Jian Guo
Dahua Lin
Bolei Zhou
11
13
0
21 May 2020
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
Pascal Klink
Carlo DÉramo
Jan Peters
Joni Pajarinen
ODL
27
54
0
24 Apr 2020
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
Santhosh Kumar Ramakrishnan
Dinesh Jayaraman
Kristen Grauman
LM&Ro
30
98
0
07 Jan 2020
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
Dipendra Kumar Misra
Mikael Henaff
A. Krishnamurthy
John Langford
13
151
0
13 Nov 2019
Multi-Path Policy Optimization
L. Pan
Qingpeng Cai
Longbo Huang
18
2
0
11 Nov 2019
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
Shih-Han Chou
Wen-Yen Chang
W. Hsu
Jianlong Fu
OffRL
13
181
0
03 Oct 2019
Optimistic Proximal Policy Optimization
Takahisa Imagawa
Takuya Hiraoka
Yoshimasa Tsuruoka
10
4
0
25 Jun 2019
Learning-Driven Exploration for Reinforcement Learning
Muhammad Usama
D. Chang
13
10
0
17 Jun 2019
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
10
50
0
20 Mar 2019
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
Hsuan-Kung Yang
Po-Han Chiang
Kuan-Wei Ho
Min-Fong Hong
Chun-Yi Lee
21
7
0
24 Jan 2019
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
Jian Qian
Ronan Fruit
Matteo Pirotta
A. Lazaric
6
10
0
11 Dec 2018
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
Fabio Pardo
Vitaly Levdik
Petar Kormushev
19
4
0
06 Oct 2018
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
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
Ramtin Keramati
Jay Whang
Patrick Cho
Emma Brunskill
OffRL
21
7
0
01 Jun 2018
Learning Self-Imitating Diverse Policies
Tanmay Gangwani
Qiang Liu
Jian Peng
14
65
0
25 May 2018
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
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
32
2,774
0
19 Aug 2017
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
9
2,291
0
05 Jul 2017
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
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
55
497
0
17 May 2017
Deep Exploration via Randomized Value Functions
Ian Osband
Benjamin Van Roy
Daniel Russo
Zheng Wen
27
301
0
22 Mar 2017
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
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,547
0
25 Jan 2016
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