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Episodic Curiosity through Reachability
v1v2v3v4v5 (latest)

Episodic Curiosity through Reachability

4 October 2018
Nikolay Savinov
Anton Raichuk
Raphaël Marinier
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
ArXiv (abs)PDFHTML

Papers citing "Episodic Curiosity through Reachability"

48 / 98 papers shown
Title
Rank the Episodes: A Simple Approach for Exploration in
  Procedurally-Generated Environments
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
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
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
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
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
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
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning
Jun Jin
D. Graves
Cameron Haigh
Jun Luo
Martin Jägersand
SSLOffRL
58
6
0
11 Nov 2020
Less is More: Data-Efficient Complex Question Answering over Knowledge
  Bases
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
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
Chenjia Bai
Peng Liu
Kaiyu Liu
Zhaoran Wang
Yingnan Zhao
Lingxiao Wang
SSL
60
18
0
17 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse
  Rewards
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
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
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
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
Occupancy Anticipation for Efficient Exploration and Navigation
Santhosh Kumar Ramakrishnan
Ziad Al-Halah
Kristen Grauman
EgoV3DPC
97
167
0
21 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with
  Imagined Goals
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
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
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
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
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
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
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
Plan2Vec: Unsupervised Representation Learning by Latent Plans
Ge Yang
Amy Zhang
Ari S. Morcos
Joelle Pineau
Pieter Abbeel
Roberto Calandra
SSLOffRL
84
27
0
07 May 2020
Learning to Explore using Active Neural SLAM
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
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
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
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
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
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
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
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
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
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 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
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning
Srinivas Venkattaramanujam
Eric Crawford
T. Doan
Doina Precup
OffRLSSL
65
24
0
05 Jul 2019
Learning the Arrow of Time
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
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
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
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
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
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
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
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRLSSL
132
277
0
08 Mar 2019
Autocurricula and the Emergence of Innovation from Social Interaction: A
  Manifesto for Multi-Agent Intelligence Research
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
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
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
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
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
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRLAI4CE
173
1,279
0
30 Nov 2018
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