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1706.08090
Cited By
Count-Based Exploration in Feature Space for Reinforcement Learning
25 June 2017
Jarryd Martin
S. N. Sasikumar
Tom Everitt
Marcus Hutter
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Papers citing
"Count-Based Exploration in Feature Space for Reinforcement Learning"
50 / 72 papers shown
Finite-time Convergence Analysis of Actor-Critic with Evolving Reward
Rui Hu
Yu Chen
Longbo Huang
177
0
0
14 Oct 2025
Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models
Seungjae Lee
Daniel Ekpo
Haowen Liu
Furong Huang
Abhinav Shrivastava
Jia-Bin Huang
LM&Ro
797
0
0
12 May 2025
Exploration-Driven Generative Interactive Environments
Computer Vision and Pattern Recognition (CVPR), 2025
N. Savov
Naser Kazemi
Mohammad Mahdi
Danda Pani Paudel
Xi Wang
Luc Van Gool
VGen
3DV
310
7
0
03 Apr 2025
Episodic Novelty Through Temporal Distance
International Conference on Learning Representations (ICLR), 2025
Y. Jiang
Qihan Liu
Yiqin Yang
Xiaoteng Ma
Dianyu Zhong
...
Jun Yang
Bin Liang
Bo Xu
Chongjie Zhang
Qianchuan Zhao
OffRL
400
11
0
28 Jan 2025
PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation
Mohammadamin Davoodabadi
Negin Hashemi Dijujin
M. Baghshah
239
1
0
02 Oct 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
International Conference on Learning Representations (ICLR), 2024
Haozhe Ma
Zhengding Luo
Thanh Vinh Vo
Kuankuan Sima
Tze-Yun Leong
815
20
0
06 Aug 2024
Q-Learning under Finite Model Uncertainty
Cécile Decker
Julian Sester
476
1
0
05 Jul 2024
Beyond Optimism: Exploration With Partially Observable Rewards
Simone Parisi
Alireza Kazemipour
Michael Bowling
OffRL
292
7
0
20 Jun 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Mingqi Yuan
Roger Creus Castanyer
Bo Li
Xin Jin
Glen Berseth
Wenjun Zeng
577
10
0
29 May 2024
Exploration and Anti-Exploration with Distributional Random Network Distillation
Kai Yang
Jian Tao
Jiafei Lyu
Xiu Li
519
36
0
18 Jan 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
Jinyi Liu
Zhi Wang
Yan Zheng
Jianye Hao
Chenjia Bai
Junjie Ye
Zhen Wang
Haiyin Piao
Yang Sun
380
14
0
19 Dec 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Gregory Palmer
Chris Parry
Daniel J.B. Harrold
Chris Willis
AI4CE
314
1
0
11 Oct 2023
Never Explore Repeatedly in Multi-Agent Reinforcement Learning
Chenghao Li
Tonghan Wang
Chongjie Zhang
Qianchuan Zhao
210
1
0
19 Aug 2023
Model-based Offline Reinforcement Learning with Count-based Conservatism
International Conference on Machine Learning (ICML), 2023
Byeongchang Kim
Min Hwan Oh
OffRL
251
17
0
21 Jul 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
International Conference on Machine Learning (ICML), 2023
Mikael Henaff
Minqi Jiang
Roberta Raileanu
232
17
0
05 Jun 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
Neurocomputing (Neurocomputing), 2023
Matej Pecháč
M. Chovanec
Igor Farkaš
291
9
0
22 Feb 2023
Selective Uncertainty Propagation in Offline RL
AAAI Conference on Artificial Intelligence (AAAI), 2023
Sanath Kumar Krishnamurthy
Shrey Modi
Tanmay Gangwani
S. Katariya
Branislav Kveton
A. Rangi
OffRL
726
0
0
01 Feb 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Mingqi Yuan
Bo Li
Xin Jin
Wenjun Zeng
OffRL
558
17
0
26 Jan 2023
Foundation Models for Semantic Novelty in Reinforcement Learning
Tarun Gupta
Peter Karkus
Tong Che
Danfei Xu
Marco Pavone
VLM
OffRL
LRM
183
10
0
09 Nov 2022
Exploration via Elliptical Episodic Bonuses
Neural Information Processing Systems (NeurIPS), 2022
Mikael Henaff
Roberta Raileanu
Minqi Jiang
Tim Rocktaschel
OffRL
405
58
0
11 Oct 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
Neural Information Processing Systems (NeurIPS), 2022
DaeJin Jo
Sungwoong Kim
D. W. Nam
Taehwan Kwon
Seungeun Rho
Jongmin Kim
Donghoon Lee
OffRL
176
12
0
11 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
302
56
0
19 Sep 2022
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning
Mingqi Yuan
Bo Li
Xin Jin
Wenjun Zeng
499
12
0
19 Sep 2022
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning
Bang You
Jingming Xie
Youping Chen
Jan Peters
Oleg Arenz
125
3
0
12 Sep 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review
N. Botteghi
M. Poel
C. Brune
SSL
OffRL
480
24
0
27 Aug 2022
Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Zijian Gao
Kele Xu
Yuanzhao Zhai
Dawei Feng
Bo Ding
Xinjun Mao
Huaimin Wang
234
3
0
24 Aug 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
C. Steinparz
Thomas Schmied
Fabian Paischer
Marius-Constantin Dinu
Vihang Patil
Angela Bitto-Nemling
Hamid Eghbalzadeh
Sepp Hochreiter
CLL
342
17
0
12 Jul 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses
Annual Meeting of the Cognitive Science Society (CogSci), 2022
Eliza Kosoy
David M. Chan
Adrian Liu
Jasmine Collins
Bryanna Kaufmann
Sandy Han Huang
Jessica B. Hamrick
John F. Canny
Nan Rosemary Ke
Alison Gopnik
CML
AI4CE
227
21
0
16 Jun 2022
Nuclear Norm Maximization Based Curiosity-Driven Learning
Chao Chen
Zijian Gao
Kele Xu
Sen Yang
Yiying Li
Bo Ding
Dawei Feng
Huaimin Wang
661
5
0
21 May 2022
Exploration in Deep Reinforcement Learning: A Survey
Information Fusion (Inf. Fusion), 2022
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
411
541
0
02 May 2022
Semantic Exploration from Language Abstractions and Pretrained Representations
Neural Information Processing Systems (NeurIPS), 2022
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
436
81
0
08 Apr 2022
Intrinsically-Motivated Reinforcement Learning: A Brief Introduction
Mingqi Yuan
287
2
0
03 Mar 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models
CLEaR (CLEaR), 2022
Eliza Kosoy
Adrian Liu
Jasmine Collins
David M. Chan
Jessica B. Hamrick
Nan Rosemary Ke
Sandy H Huang
Bryanna Kaufmann
John F. Canny
Alison Gopnik
CML
218
11
0
21 Feb 2022
Improving Intrinsic Exploration with Language Abstractions
Neural Information Processing Systems (NeurIPS), 2022
Jesse Mu
Victor Zhong
Roberta Raileanu
Minqi Jiang
Noah D. Goodman
Tim Rocktaschel
Edward Grefenstette
430
73
0
17 Feb 2022
Anti-Concentrated Confidence Bonuses for Scalable Exploration
International Conference on Learning Representations (ICLR), 2021
Jordan T. Ash
Cyril Zhang
Surbhi Goel
A. Krishnamurthy
Sham Kakade
298
9
0
21 Oct 2021
Exploring More When It Needs in Deep Reinforcement Learning
Youtian Guo
Qitong Gao
115
0
0
28 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Zhenxing Ge
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
507
175
0
14 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning
Susan Amin
Maziar Gomrokchi
Harsh Satija
H. V. Hoof
Doina Precup
OffRL
407
105
0
01 Sep 2021
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents
Ammar Fayad
M. Ibrahim
244
5
0
28 Aug 2021
The Benchmark Lottery
Mostafa Dehghani
Yi Tay
A. Gritsenko
Zhe Zhao
N. Houlsby
Fernando Diaz
Donald Metzler
Oriol Vinyals
419
116
0
14 Jul 2021
A Max-Min Entropy Framework for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Seungyul Han
Y. Sung
391
37
0
19 Jun 2021
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Mathieu Seurin
Florian Strub
Philippe Preux
Olivier Pietquin
235
10
0
20 May 2021
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
International Conference on Learning Representations (ICLR), 2021
Daochen Zha
Wenye Ma
Lei Yuan
Helen Zhou
Ji Liu
299
47
0
20 Jan 2021
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Chuang Gan
Xiaoyu Chen
Phillip Isola
Antonio Torralba
J. Tenenbaum
192
7
0
27 Jul 2020
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
International Conference on Machine Learning (ICML), 2020
Seungyul Han
Y. Sung
350
34
0
02 Jun 2020
Exploring Exploration: Comparing Children with RL Agents in Unified Environments
Eliza Kosoy
Jasmine Collins
David M. Chan
Sandy Huang
Deepak Pathak
Pulkit Agrawal
John F. Canny
Alison Gopnik
Jessica B. Hamrick
207
17
0
06 May 2020
First return, then explore
Nature (Nature), 2020
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
823
425
0
27 Apr 2020
Exploring Unknown States with Action Balance
Yan Song
Yingfeng Chen
Yujing Hu
Changjie Fan
202
6
0
10 Mar 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
International Conference on Learning Representations (ICLR), 2020
Roberta Raileanu
Tim Rocktaschel
354
196
0
27 Feb 2020
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
553
162
0
19 Aug 2019
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