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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"

50 / 98 papers shown
Title
Uncertainty Prioritized Experience Replay
Rodrigo Carrasco-Davis
Sebastian Lee
Claudia Clopath
Will Dabney
34
0
0
10 Jun 2025
Episodic Novelty Through Temporal Distance
Y. Jiang
Qihan Liu
Yiqin Yang
Xiaoteng Ma
Dianyu Zhong
...
Jun Yang
Bin Liang
Bo Xu
Chongjie Zhang
Qianchuan Zhao
OffRL
105
1
0
28 Jan 2025
Human-inspired Perspectives: A Survey on AI Long-term Memory
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He
Weizhe Lin
Hao Zheng
Fan Zhang
Matt Jones
Laurence Aitchison
X. Xu
Miao Liu
Per Ola Kristensson
Junxiao Shen
246
3
0
01 Nov 2024
Prioritized Generative Replay
Prioritized Generative Replay
Renhao Wang
Kevin Frans
Pieter Abbeel
Sergey Levine
Alexei A. Efros
OnRLDiffM
190
7
0
23 Oct 2024
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Devdhar Patel
H. Siegelmann
OffRL
120
0
0
11 Oct 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Mingqi Yuan
Roger Creus Castanyer
Bo Li
Xin Jin
Glen Berseth
Wenjun Zeng
176
0
0
29 May 2024
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic
  Motivation Reinforcement Learning Algorithms for Improved Training and
  Adaptability
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability
Navin Kamuni
Hardik Shah
Sathishkumar Chintala
Naveen Kunchakuri
Sujatha Alla Old Dominion
82
19
0
31 Jan 2024
Efficient Q-Learning over Visit Frequency Maps for Multi-agent
  Exploration of Unknown Environments
Efficient Q-Learning over Visit Frequency Maps for Multi-agent Exploration of Unknown Environments
Xuyang Chen
Ashvin Iyer
Zixing Wang
A. H. Qureshi
68
4
0
30 Jul 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based
  Reachability Planning
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning
Zhifeng Qian
Mingyu You
Hongjun Zhou
Xuanhui Xu
Bin He
62
3
0
20 Jul 2023
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on
  Options Framework
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework
JaeYoon Kim
Junyu Xuan
Christy Jie Liang
F. Hussain
144
1
0
02 May 2023
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief
  Review
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review
Artem Latyshev
Aleksandr I. Panov
74
1
0
24 Jan 2023
Time-Myopic Go-Explore: Learning A State Representation for the
  Go-Explore Paradigm
Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm
Marc Höftmann
Jan Robine
Stefan Harmeling
AI4TS
57
1
0
13 Jan 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time
  Multi-Robot Cooperative Exploration
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration
Chao Yu
Xinyi Yang
Jiaxuan Gao
Jiayu Chen
Yunfei Li
...
Yunfei Xiang
Rui Huang
Huazhong Yang
Yi Wu
Yu Wang
68
38
0
09 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward
  Shaping
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
A. Lazaric
Alahari Karteek
OffRL
132
19
0
05 Jan 2023
Navigating to Objects in the Real World
Navigating to Objects in the Real World
Théophile Gervet
Soumith Chintala
Dhruv Batra
Jitendra Malik
Devendra Singh Chaplot
95
133
0
02 Dec 2022
Reachability-Aware Laplacian Representation in Reinforcement Learning
Reachability-Aware Laplacian Representation in Reinforcement Learning
Kaixin Wang
Kuangqi Zhou
Jiashi Feng
Bryan Hooi
Xinchao Wang
77
5
0
24 Oct 2022
Retrospectives on the Embodied AI Workshop
Retrospectives on the Embodied AI Workshop
Matt Deitke
Dhruv Batra
Yonatan Bisk
Tommaso Campari
Angel X. Chang
...
Jesse Thomason
Alexander Toshev
Joanne Truong
Luca Weihs
Jiajun Wu
LM&Ro
122
51
0
13 Oct 2022
An information-theoretic perspective on intrinsic motivation in
  reinforcement learning: a survey
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
96
37
0
19 Sep 2022
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of
  Wild Animals in Camera-Trap Images
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images
Jeongsoo Kim
Sangmin Woo
Byeongjun Park
Changick Kim
47
2
0
31 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A
  Review
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review
N. Botteghi
M. Poel
C. Brune
SSLOffRL
101
13
0
27 Aug 2022
Walk the Random Walk: Learning to Discover and Reach Goals Without
  Supervision
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
Alahari Karteek
61
4
0
23 Jun 2022
Case-Based Inverse Reinforcement Learning Using Temporal Coherence
Case-Based Inverse Reinforcement Learning Using Temporal Coherence
Jonas Nüßlein
Steffen Illium
Robert Muller
Thomas Gabor
Claudia Linnhoff-Popien
61
1
0
12 Jun 2022
GraphMapper: Efficient Visual Navigation by Scene Graph Generation
GraphMapper: Efficient Visual Navigation by Scene Graph Generation
Zachary Seymour
Niluthpol Chowdhury Mithun
Han-Pang Chiu
S. Samarasekera
Rakesh Kumar
101
8
0
17 May 2022
Asking for Knowledge: Training RL Agents to Query External Knowledge
  Using Language
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language
Iou-Jen Liu
Xingdi Yuan
Marc-Alexandre Côté
Pierre-Yves Oudeyer
Alex Schwing
RALM
81
12
0
12 May 2022
Exploration in Deep Reinforcement Learning: A Survey
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
93
365
0
02 May 2022
Semantic Exploration from Language Abstractions and Pretrained
  Representations
Semantic Exploration from Language Abstractions and Pretrained Representations
Allison C. Tam
Neil C. Rabinowitz
Andrew Kyle Lampinen
Nicholas A. Roy
Stephanie C. Y. Chan
D. Strouse
Jane X. Wang
Andrea Banino
Felix Hill
LM&Ro
132
70
0
08 Apr 2022
Off-Policy Evaluation with Online Adaptation for Robot Exploration in
  Challenging Environments
Off-Policy Evaluation with Online Adaptation for Robot Exploration in Challenging Environments
Yafei Hu
Junyi Geng
Chen Wang
John Keller
Sebastian Scherer
OffRL
102
15
0
07 Apr 2022
Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement
  Learning
Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning
Q. Sun
Jinbao Fang
Weixing Zheng
Yang Tang
47
30
0
26 Mar 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in
  Environments with Sparse Rewards: What and When to Share?
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?
Alain Andres
Esther Villar-Rodriguez
Javier Del Ser
73
9
0
24 Feb 2022
Navigating to Objects in Unseen Environments by Distance Prediction
Navigating to Objects in Unseen Environments by Distance Prediction
Minzhao Zhu
Binglei Zhao
Tao Kong
59
33
0
08 Feb 2022
Successor Feature Landmarks for Long-Horizon Goal-Conditioned
  Reinforcement Learning
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Christopher Hoang
Sungryull Sohn
Jongwook Choi
Wilka Carvalho
Honglak Lee
74
32
0
18 Nov 2021
Shaping embodied agent behavior with activity-context priors from
  egocentric video
Shaping embodied agent behavior with activity-context priors from egocentric video
Tushar Nagarajan
Kristen Grauman
EgoVLM&Ro
132
15
0
14 Oct 2021
Learning Efficient Multi-Agent Cooperative Visual Exploration
Learning Efficient Multi-Agent Cooperative Visual Exploration
Chao Yu
Xinyi Yang
Jiaxuan Gao
Huazhong Yang
Yu Wang
Yi Wu
69
30
0
12 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
135
60
0
28 Sep 2021
Long-Term Exploration in Persistent MDPs
Long-Term Exploration in Persistent MDPs
L. Ugadiarov
Alexey Skrynnik
Aleksandr I. Panov
64
2
0
21 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
86
103
0
14 Sep 2021
SASRA: Semantically-aware Spatio-temporal Reasoning Agent for
  Vision-and-Language Navigation in Continuous Environments
SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
Muhammad Zubair Irshad
Niluthpol Chowdhury Mithun
Zachary Seymour
Han-Pang Chiu
S. Samarasekera
Rakesh Kumar
LM&Ro
84
51
0
26 Aug 2021
Multimodal Reward Shaping for Efficient Exploration in Reinforcement
  Learning
Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning
Mingqi Yuan
Mon-on Pun
Dong Wang
Yi Chen
Haojun Li
32
7
0
19 Jul 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per
  Second
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
Aleksei Petrenko
Erik Wijmans
Brennan Shacklett
V. Koltun
LM&RoVGen
88
24
0
17 Jul 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Sungryull Sohn
Sungtae Lee
Jongwook Choi
H. V. Seijen
Mehdi Fatemi
Honglak Lee
321
5
0
13 Jul 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement
  Learning Agents
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
Grgur Kovač
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
ALM
88
6
0
02 Jul 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
Prithvijit Chattopadhyay
Judy Hoffman
Roozbeh Mottaghi
Aniruddha Kembhavi
84
55
0
08 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and
  rewarding skills
DisTop: Discovering a Topological representation to learn diverse and rewarding skills
A. Aubret
L. Matignon
S. Hassas
68
12
0
06 Jun 2021
Principled Exploration via Optimistic Bootstrapping and Backward
  Induction
Principled Exploration via Optimistic Bootstrapping and Backward Induction
Chenjia Bai
Lingxiao Wang
Lei Han
Jianye Hao
Animesh Garg
Peng Liu
Zhaoran Wang
OffRL
68
40
0
13 May 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models
Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah
Benjamin Eysenbach
G. Kahn
Nicholas Rhinehart
Sergey Levine
137
75
0
12 Apr 2021
Drop-Bottleneck: Learning Discrete Compressed Representation for
  Noise-Robust Exploration
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Jaekyeom Kim
Minjung Kim
Dongyeon Woo
Gunhee Kim
69
17
0
23 Mar 2021
MaAST: Map Attention with Semantic Transformersfor Efficient Visual
  Navigation
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation
Zachary Seymour
Kowshik Thopalli
Niluthpol Chowdhury Mithun
Han-Pang Chiu
S. Samarasekera
Rakesh Kumar
3DPC
69
18
0
21 Mar 2021
A Survey of Embodied AI: From Simulators to Research Tasks
A Survey of Embodied AI: From Simulators to Research Tasks
Jiafei Duan
Samson Yu
Tangyao Li
Huaiyu Zhu
Cheston Tan
LM&Ro
118
296
0
08 Mar 2021
PLGRIM: Hierarchical Value Learning for Large-scale Exploration in
  Unknown Environments
PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments
Sung-Kyun Kim
Amanda Bouman
G. Salhotra
David D. Fan
K. Otsu
J. W. Burdick
Ali-akbar Agha-mohammadi
69
49
0
10 Feb 2021
Exploring Beyond-Demonstrator via Meta Learning-Based Reward
  Extrapolation
Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation
Mingqi Yuan
Man-On Pun
28
0
0
04 Feb 2021
12
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