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1606.01868
Cited By
Unifying Count-Based Exploration and Intrinsic Motivation
6 June 2016
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
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Papers citing
"Unifying Count-Based Exploration and Intrinsic Motivation"
34 / 334 papers shown
Title
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
Leshem Choshen
Lior Fox
Y. Loewenstein
OffRL
13
62
0
11 Apr 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events
Niels Justesen
S. Risi
OffRL
35
20
0
19 Mar 2018
Some Considerations on Learning to Explore via Meta-Reinforcement Learning
Bradly C. Stadie
Ge Yang
Rein Houthooft
Xi Chen
Yan Duan
Yuhuai Wu
Pieter Abbeel
Ilya Sutskever
LRM
29
116
0
03 Mar 2018
Computational Theories of Curiosity-Driven Learning
Pierre-Yves Oudeyer
29
64
0
28 Feb 2018
Investigating Human Priors for Playing Video Games
Rachit Dubey
Pulkit Agrawal
Deepak Pathak
Thomas Griffiths
Alexei A. Efros
OffRL
33
144
0
28 Feb 2018
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation
Simon Lucas
Jialin Liu
Diego Perez-Liebana
18
47
0
16 Feb 2018
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
Exploration in Feature Space for Reinforcement Learning
S. N. Sasikumar
52
4
0
05 Oct 2017
Deep Abstract Q-Networks
Melrose Roderick
Christopher Grimm
Stefanie Tellex
35
33
0
02 Oct 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado
Marc G. Bellemare
Erik Talvitie
J. Veness
Matthew J. Hausknecht
Michael Bowling
21
544
0
18 Sep 2017
The Uncertainty Bellman Equation and Exploration
Brendan O'Donoghue
Ian Osband
Rémi Munos
Volodymyr Mnih
19
183
0
15 Sep 2017
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
59
2,776
0
19 Aug 2017
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention
William Saunders
Girish Sastry
Andreas Stuhlmuller
Owain Evans
OffRL
24
229
0
17 Jul 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
87
2,296
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
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning
Nick Erickson
Qi Zhao
CLL
OffRL
181
2
0
19 Jun 2017
Universal Reinforcement Learning Algorithms: Survey and Experiments
John Aslanides
Jan Leike
Marcus Hutter
OffRL
26
19
0
30 May 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
Nat Dilokthanakul
Christos Kaplanis
Nick Pawlowski
Murray Shanahan
24
91
0
18 May 2017
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
78
499
0
17 May 2017
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
46
2,394
0
15 May 2017
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Kelvin Guu
Panupong Pasupat
E. Liu
Percy Liang
34
190
0
25 Apr 2017
Beating Atari with Natural Language Guided Reinforcement Learning
Russell Kaplan
Chris Sauer
A. Sosa
LM&Ro
19
69
0
18 Apr 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Carlos Florensa
Yan Duan
Pieter Abbeel
BDL
47
360
0
10 Apr 2017
Deep Exploration via Randomized Value Functions
Ian Osband
Benjamin Van Roy
Daniel Russo
Zheng Wen
41
300
0
22 Mar 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Joshua Achiam
S. Shankar Sastry
29
235
0
06 Mar 2017
Count-Based Exploration with Neural Density Models
Georg Ostrovski
Marc G. Bellemare
Aaron van den Oord
Rémi Munos
50
614
0
03 Mar 2017
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
Variational Intrinsic Control
Karol Gregor
Danilo Jimenez Rezende
Daan Wierstra
DRL
OffRL
19
425
0
22 Nov 2016
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
Felix Leibfried
Nate Kushman
Katja Hofmann
46
43
0
21 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
60
760
0
15 Nov 2016
Playing SNES in the Retro Learning Environment
Nadav Bhonker
Shai Rozenberg
Itay Hubara
18
19
0
07 Nov 2016
Supervision via Competition: Robot Adversaries for Learning Tasks
Lerrel Pinto
James Davidson
Abhinav Gupta
SSL
24
82
0
05 Oct 2016
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems
Zachary Chase Lipton
Xiujun Li
Jianfeng Gao
Lihong Li
Faisal Ahmed
Li Deng
24
6
0
17 Aug 2016
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,552
0
25 Jan 2016
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