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1810.02274
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Episodic Curiosity through Reachability
4 October 2018
Nikolay Savinov
Anton Raichuk
Raphaël Marinier
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
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Papers citing
"Episodic Curiosity through Reachability"
48 / 98 papers shown
Title
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
Daochen Zha
Wenye Ma
Lei Yuan
Helen Zhou
Ji Liu
137
44
0
20 Jan 2021
Memory-Augmented Reinforcement Learning for Image-Goal Navigation
Lina Mezghani
Sainbayar Sukhbaatar
Thibaut Lavril
Oleksandr Maksymets
Dhruv Batra
Piotr Bojanowski
Alahari Karteek
75
70
0
13 Jan 2021
Geometric Entropic Exploration
Z. Guo
M. G. Azar
Alaa Saade
S. Thakoor
Bilal Piot
Bernardo Avila-Pires
Michal Valko
Thomas Mesnard
Tor Lattimore
Rémi Munos
89
32
0
06 Jan 2021
Self-Imitation Advantage Learning
Johan Ferret
Olivier Pietquin
Matthieu Geist
169
20
0
22 Dec 2020
World Model as a Graph: Learning Latent Landmarks for Planning
Lunjun Zhang
Ge Yang
Bradly C. Stadie
DRL
83
74
0
25 Nov 2020
ACDER: Augmented Curiosity-Driven Experience Replay
Boyao Li
Tao Lu
Jiayi Li
N. Lu
Yinghao Cai
Shuo Wang
60
16
0
16 Nov 2020
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning
Jun Jin
D. Graves
Cameron Haigh
Jun Luo
Martin Jägersand
SSL
OffRL
58
6
0
11 Nov 2020
Less is More: Data-Efficient Complex Question Answering over Knowledge Bases
Yuncheng Hua
Yuan-Fang Li
Guilin Qi
Wei Wu
Jingyao Zhang
Daiqing Qi
74
28
0
29 Oct 2020
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
Chenjia Bai
Peng Liu
Kaiyu Liu
Zhaoran Wang
Yingnan Zhao
Lingxiao Wang
SSL
55
18
0
17 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards
Siyu Dai
Wenyuan Xu
Andreas G. Hofmann
B. Williams
97
8
0
15 Oct 2020
Latent World Models For Intrinsically Motivated Exploration
Aleksandr Ermolov
N. Sebe
120
25
0
05 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration
Ruo Yu Tao
Vincent François-Lavet
Joelle Pineau
90
45
0
28 Sep 2020
Action and Perception as Divergence Minimization
Danijar Hafner
Pedro A. Ortega
Jimmy Ba
Thomas Parr
Karl J. Friston
N. Heess
91
53
0
03 Sep 2020
Occupancy Anticipation for Efficient Exploration and Navigation
Santhosh Kumar Ramakrishnan
Ziad Al-Halah
Kristen Grauman
EgoV
3DPC
97
167
0
21 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals
Ozsel Kilinc
Giovanni Montana
54
5
0
05 Aug 2020
Object Goal Navigation using Goal-Oriented Semantic Exploration
Devendra Singh Chaplot
Dhiraj Gandhi
Abhinav Gupta
Ruslan Salakhutdinov
128
524
0
01 Jul 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero
Roberta Raileanu
Heinrich Küttler
J. Tenenbaum
Tim Rocktaschel
Edward Grefenstette
101
127
0
22 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
Tianren Zhang
Shangqi Guo
Tian Tan
Xiaolin Hu
Feng Chen
103
87
0
20 Jun 2020
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation
Tao He
Lianli Gao
Jingkuan Song
Jianfei Cai
Yuan-Fang Li
80
31
0
13 Jun 2020
Neural Topological SLAM for Visual Navigation
Devendra Singh Chaplot
Ruslan Salakhutdinov
Abhinav Gupta
Saurabh Gupta
126
297
0
25 May 2020
Planning to Explore via Self-Supervised World Models
Ramanan Sekar
Oleh Rybkin
Kostas Daniilidis
Pieter Abbeel
Danijar Hafner
Deepak Pathak
SSL
115
412
0
12 May 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans
Ge Yang
Amy Zhang
Ari S. Morcos
Joelle Pineau
Pieter Abbeel
Roberto Calandra
SSL
OffRL
84
27
0
07 May 2020
Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot
Dhiraj Gandhi
Saurabh Gupta
Abhinav Gupta
Ruslan Salakhutdinov
84
516
0
10 Apr 2020
Learning to Visually Navigate in Photorealistic Environments Without any Supervision
Lina Mezghani
Sainbayar Sukhbaatar
Arthur Szlam
Armand Joulin
Piotr Bojanowski
SSL
37
10
0
10 Apr 2020
Agent57: Outperforming the Atari Human Benchmark
Adria Puigdomenech Badia
Bilal Piot
Steven Kapturowski
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Charles Blundell
OffRL
109
521
0
30 Mar 2020
Exploring Unknown States with Action Balance
Yan Song
Yingfeng Chen
Yujing Hu
Changjie Fan
24
5
0
10 Mar 2020
Never Give Up: Learning Directed Exploration Strategies
Adria Puigdomenech Badia
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Bilal Piot
...
O. Tieleman
Martín Arjovsky
Alexander Pritzel
Andew Bolt
Charles Blundell
81
300
0
14 Feb 2020
An Exploration of Embodied Visual Exploration
Santhosh Kumar Ramakrishnan
Dinesh Jayaraman
Kristen Grauman
LM&Ro
93
100
0
07 Jan 2020
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander R. Trott
Stephan Zheng
Caiming Xiong
R. Socher
125
112
0
04 Nov 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
Ozsel Kilinc
Giovanni Montana
54
39
0
16 Oct 2019
Scaling Local Control to Large-Scale Topological Navigation
Xiangyun Meng
Nathan D. Ratliff
Yu Xiang
Dieter Fox
164
61
0
26 Sep 2019
Bayesian Relational Memory for Semantic Visual Navigation
Yi Wu
Yuxin Wu
Aviv Tamar
Stuart J. Russell
Georgia Gkioxari
Yuandong Tian
BDL
128
105
0
10 Sep 2019
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
112
144
0
19 Aug 2019
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning
Srinivas Venkattaramanujam
Eric Crawford
T. Doan
Doina Precup
OffRL
SSL
65
24
0
05 Jul 2019
Learning the Arrow of Time
Nasim Rahaman
Steffen Wolf
Anirudh Goyal
Roman Remme
Yoshua Bengio
61
5
0
02 Jul 2019
Reward Prediction Error as an Exploration Objective in Deep RL
Riley Simmons-Edler
Ben Eisner
Daniel Yang
Anthony Bisulco
E. Mitchell
Sebastian Seung
Daniel D. Lee
64
5
0
19 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
98
293
0
12 Jun 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
146
122
0
27 May 2019
A Short Survey On Memory Based Reinforcement Learning
Dhruv Ramani
OffRL
71
17
0
14 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
164
1,164
0
10 Apr 2019
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
Jingwei Zhang
Niklas Wetzel
Nicolai Dorka
Joschka Boedecker
Wolfram Burgard
65
26
0
18 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
132
277
0
08 Mar 2019
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
Joel Z Leibo
Edward Hughes
Marc Lanctot
T. Graepel
94
110
0
02 Mar 2019
Parenting: Safe Reinforcement Learning from Human Input
Christopher Frye
Ilya Feige
76
7
0
18 Feb 2019
Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance
Ethan C. Jackson
Mark Daley
50
20
0
08 Feb 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
Rui Wang
Joel Lehman
Jeff Clune
Kenneth O. Stanley
123
250
0
07 Jan 2019
Provably Efficient Maximum Entropy Exploration
Elad Hazan
Sham Kakade
Karan Singh
A. V. Soest
98
305
0
06 Dec 2018
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
173
1,279
0
30 Nov 2018
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