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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"
50 / 350 papers shown
Title
Explicit Explore-Exploit Algorithms in Continuous State Spaces
Mikael Henaff
OffRL
22
31
0
01 Nov 2019
HIGhER : Improving instruction following with Hindsight Generation for Experience Replay
Geoffrey Cideron
Mathieu Seurin
Florian Strub
Olivier Pietquin
32
37
0
21 Oct 2019
Dealing with Sparse Rewards in Reinforcement Learning
J. Hare
21
77
0
21 Oct 2019
Influence-Based Multi-Agent Exploration
Tonghan Wang
Jianhao Wang
Yi Wu
Chongjie Zhang
24
137
0
12 Oct 2019
Receding Horizon Curiosity
M. Schultheis
Boris Belousov
Hany Abdulsamad
Jan Peters
25
15
0
08 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms
Shih-Han Chou
Wen-Yen Chang
W. Hsu
Jianlong Fu
OffRL
27
182
0
03 Oct 2019
Emergent Tool Use From Multi-Agent Autocurricula
Bowen Baker
I. Kanitscheider
Todor Markov
Yi Wu
Glenn Powell
Bob McGrew
Igor Mordatch
LRM
54
647
0
17 Sep 2019
Interactive Fiction Games: A Colossal Adventure
Matthew J. Hausknecht
Prithviraj Ammanabrolu
Marc-Alexandre Côté
Xingdi Yuan
LLMAG
LM&Ro
AI4CE
18
193
0
11 Sep 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
George Konidaris
41
356
0
06 Jul 2019
Growing Action Spaces
Gregory Farquhar
Laura Gustafson
Zeming Lin
Shimon Whiteson
Nicolas Usunier
Gabriel Synnaeve
14
38
0
28 Jun 2019
Optimistic Proximal Policy Optimization
Takahisa Imagawa
Takuya Hiraoka
Yoshimasa Tsuruoka
15
4
0
25 Jun 2019
Learning-Driven Exploration for Reinforcement Learning
Muhammad Usama
D. Chang
29
10
0
17 Jun 2019
Efficient Exploration via State Marginal Matching
Lisa Lee
Benjamin Eysenbach
Emilio Parisotto
Eric Xing
Sergey Levine
Ruslan Salakhutdinov
35
242
0
12 Jun 2019
Fast Task Inference with Variational Intrinsic Successor Features
Steven Hansen
Will Dabney
André Barreto
T. Wiele
David Warde-Farley
Volodymyr Mnih
BDL
44
151
0
12 Jun 2019
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
35
375
0
10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John Lanier
Stephen Marcus McAleer
Pierre Baldi
OffRL
24
25
0
09 Jun 2019
Towards Finding Longer Proofs
Zsolt Zombori
Adrián Csiszárik
Henryk Michalewski
C. Kaliszyk
Josef Urban
OffRL
LRM
29
15
0
30 May 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning
W. Clements
B. V. Delft
Benoît-Marie Robaglia
Reda Bahi Slaoui
Sébastien Toth
30
96
0
23 May 2019
Reinforcement Learning without Ground-Truth State
Xingyu Lin
H. Baweja
David Held
OffRL
SSL
20
24
0
20 May 2019
P3O: Policy-on Policy-off Policy Optimization
Rasool Fakoor
Pratik Chaudhari
Alex Smola
OffRL
29
51
0
05 May 2019
Deep Policies for Width-Based Planning in Pixel Domains
Miquel Junyent
Anders Jonsson
Vicencc Gómez
41
10
0
12 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan
Daniel Seita
Yang Gao
John F. Canny
AAML
16
96
0
31 Mar 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
28
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
36
269
0
08 Mar 2019
Curiosity-Driven Experience Prioritization via Density Estimation
Rui Zhao
Volker Tresp
27
54
0
20 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
AI4TS
24
363
0
30 Jan 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments
Pierre Fournier
Olivier Sigaud
Cédric Colas
Mohamed Chetouani
OffRL
40
26
0
28 Jan 2019
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching
Tom Zahavy
Shie Mannor
HAI
36
30
0
24 Jan 2019
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution
G. Lee
Chang Ouk Kim
18
4
0
17 Jan 2019
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning
Ameer Haj-Ali
Qijing Huang
William S. Moses
J. Xiang
Ion Stoica
Krste Asanović
J. Wawrzynek
29
36
0
15 Jan 2019
Malthusian Reinforcement Learning
Joel Z Leibo
Julien Perolat
Edward Hughes
S. Wheelwright
Adam H. Marblestone
Edgar A. Duénez-Guzmán
P. Sunehag
Iain Dunning
T. Graepel
AI4CE
33
37
0
17 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning
Pablo Samuel Castro
Subhodeep Moitra
Carles Gelada
Saurabh Kumar
Marc G. Bellemare
OffRL
28
276
0
14 Dec 2018
On the potential for open-endedness in neural networks
N. Guttenberg
N. Virgo
A. Penn
21
10
0
12 Dec 2018
Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes
Jian Qian
Ronan Fruit
Matteo Pirotta
A. Lazaric
14
10
0
11 Dec 2018
Learning Montezuma's Revenge from a Single Demonstration
Tim Salimans
Richard J. Chen
42
136
0
08 Dec 2018
Provably Efficient Maximum Entropy Exploration
Elad Hazan
Sham Kakade
Karan Singh
A. V. Soest
36
294
0
06 Dec 2018
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations
Ozsel Kilinc
Giovanni Montana
23
26
0
03 Dec 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments
Qihao Liu
Yujia Wang
Xiao-Fei Liu
25
8
0
26 Nov 2018
Urban Driving with Multi-Objective Deep Reinforcement Learning
Changjian Li
Krzysztof Czarnecki
15
72
0
21 Nov 2018
Bayesian Reinforcement Learning in Factored POMDPs
Sammie Katt
F. Oliehoek
Chris Amato
20
39
0
14 Nov 2018
Contingency-Aware Exploration in Reinforcement Learning
Jongwook Choi
Yijie Guo
Marcin Moczulski
Junhyuk Oh
Neal Wu
Mohammad Norouzi
Honglak Lee
21
73
0
05 Nov 2018
Model-Based Active Exploration
Pranav Shyam
Wojciech Ja'skowski
Faustino J. Gomez
30
178
0
29 Oct 2018
Learning Representations in Model-Free Hierarchical Reinforcement Learning
J. Rafati
D. Noelle
24
45
0
23 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
48
553
0
12 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
Fabio Pardo
Vitaly Levdik
Petar Kormushev
25
4
0
06 Oct 2018
Episodic Curiosity through Reachability
Nikolay Savinov
Anton Raichuk
Raphaël Marinier
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
17
267
0
04 Oct 2018
Learning Navigation Behaviors End-to-End with AutoRL
H. Chiang
Aleksandra Faust
Marek Fiser
Anthony G. Francis
18
234
0
26 Sep 2018
Neural Approaches to Conversational AI
Jianfeng Gao
Michel Galley
Lihong Li
49
670
0
21 Sep 2018
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning
Izumi Karino
Kazutoshi Tanaka
Ryuma Niiyama
Yasuo Kuniyoshi
19
3
0
18 Sep 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
Michal Garmulewicz
Henryk Michalewski
Piotr Milos
16
8
0
10 Sep 2018
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