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1611.04717
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#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
15 November 2016
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
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Papers citing
"#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning"
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Title
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Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments
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World Model Agents with Change-Based Intrinsic Motivation
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Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
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Xin Liu
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Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications
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Mostafa Mostafa
Ali Jnadi
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Pavel Osinenko
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31 Dec 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
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Zhenglin Wan
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Yueming Lyu
Qing-Wu Guo
Ivor W. Tsang
139
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Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
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Kevin Frans
Sergey Levine
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57
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23 Oct 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control
Ehsan Futuhi
Shayan Karimi
Chao Gao
Martin Müller
38
1
0
07 Oct 2024
Quasimetric Value Functions with Dense Rewards
Khadichabonu Valieva
Bikramjit Banerjee
OffRL
30
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13 Sep 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Haozhe Ma
Zhengding Luo
Thanh Vinh Vo
Kuankuan Sima
Tze-Yun Leong
29
5
0
06 Aug 2024
Preference-Guided Reinforcement Learning for Efficient Exploration
Guojian Wang
Faguo Wu
Xiao Zhang
Tianyuan Chen
Xuyang Chen
Lin Zhao
40
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09 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult?
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Chris Xiaoxuan Lu
Matthew Jackson
Shimon Whiteson
Jakob N. Foerster
42
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Safety through feedback in Constrained RL
Shashank Reddy Chirra
Pradeep Varakantham
P. Paruchuri
OffRL
48
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28 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
Hyungho Na
IL-Chul Moon
43
1
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30 May 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Mingqi Yuan
Roger Creus Castanyer
Bo Li
Xin Jin
Glen Berseth
Wenjun Zeng
40
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0
29 May 2024
Exclusively Penalized Q-learning for Offline Reinforcement Learning
Junghyuk Yeom
Yonghyeon Jo
Jungmo Kim
Sanghyeon Lee
Seungyul Han
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40
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0
23 May 2024
Enhancing Q-Learning with Large Language Model Heuristics
Xiefeng Wu
LRM
32
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0
06 May 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
Lisheng Wu
Ke Chen
26
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19 Apr 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
Tianying Ji
Yongyuan Liang
Yan Zeng
Yu-Juan Luo
Guowei Xu
Jiawei Guo
Ruijie Zheng
Furong Huang
Gang Hua
Huazhe Xu
CML
48
11
0
22 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
Haobin Jiang
Ziluo Ding
Zongqing Lu
24
2
0
03 Feb 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots
Suning Huang
Boyuan Chen
Huazhe Xu
Vincent Sitzmann
42
3
0
24 Jan 2024
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
Jaedong Hwang
Zhang-Wei Hong
Eric Chen
Akhilan Boopathy
Pulkit Agrawal
Ila Fiete
CLL
35
5
0
26 Oct 2023
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
Ruiquan Huang
Yuan Cheng
Jing Yang
Vincent Tan
Yingbin Liang
30
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0
20 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
33
34
0
13 Oct 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
Max Sobol Mark
Archit Sharma
Fahim Tajwar
Rafael Rafailov
Sergey Levine
Chelsea Finn
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28
1
0
12 Oct 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning
Yonghyeon Jo
Sunwoo Lee
Junghyuk Yum
Seungyul Han
32
5
0
22 Aug 2023
Controlling Character Motions without Observable Driving Source
Weiyuan Li
Bin Dai
Ziyi Zhou
Qi Yao
Baoyuan Wang
VGen
8
1
0
11 Aug 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
Haque Ishfaq
Qingfeng Lan
Pan Xu
A. R. Mahmood
Doina Precup
Anima Anandkumar
Kamyar Azizzadenesheli
BDL
OffRL
28
20
0
29 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse
Jiafei Lyu
Le Wan
Zongqing Lu
Xiu Li
OffRL
28
9
0
29 May 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling
Toru Lin
Allan Jabri
OffRL
23
6
0
15 May 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
Zihan Zhou
Animesh Garg
OffRL
16
3
0
30 Apr 2023
Aiding reinforcement learning for set point control
Ruoqing Zhang
Per Mattsson
T. Wigren
13
3
0
20 Apr 2023
Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl
Russell Mendonca
Lili Chen
Unnat Jain
Deepak Pathak
41
161
0
17 Apr 2023
Accelerating exploration and representation learning with offline pre-training
Bogdan Mazoure
Jake Bruce
Doina Precup
Rob Fergus
Ankit Anand
OffRL
31
5
0
31 Mar 2023
Failure-aware Policy Learning for Self-assessable Robotics Tasks
Kechun Xu
Runjian Chen
Shuqing Zhao
Zizhang Li
Hongxiang Yu
Ci Chen
Yue Wang
R. Xiong
20
1
0
25 Feb 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
Matej Pecháč
M. Chovanec
Igor Farkaš
29
3
0
22 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World
Russell Mendonca
Shikhar Bahl
Deepak Pathak
LM&Ro
30
20
0
13 Feb 2023
Investigating the role of model-based learning in exploration and transfer
Jacob Walker
Eszter Vértes
Yazhe Li
Gabriel Dulac-Arnold
Ankesh Anand
T. Weber
Jessica B. Hamrick
OffRL
36
7
0
08 Feb 2023
A general Markov decision process formalism for action-state entropy-regularized reward maximization
D. Grytskyy
Jorge Ramírez-Ruiz
R. Moreno-Bote
22
3
0
02 Feb 2023
Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection
Chenglong Wang
Yi Lu
Yongyu Mu
Yimin Hu
Tong Xiao
Jingbo Zhu
32
8
0
01 Feb 2023
Sample Efficient Deep Reinforcement Learning via Local Planning
Dong Yin
S. Thiagarajan
N. Lazić
Nived Rajaraman
Botao Hao
Csaba Szepesvári
22
4
0
29 Jan 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
Mingqi Yuan
Bo Li
Xin Jin
Wenjun Zeng
OffRL
24
8
0
26 Jan 2023
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
42
5
0
18 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning
Tarun Gupta
Peter Karkus
Tong Che
Danfei Xu
Marco Pavone
VLM
OffRL
LRM
39
7
0
09 Nov 2022
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
Henrique Donancio
L. Vercouter
H. Roclawski
AI4CE
18
1
0
20 Oct 2022
Symbol Guided Hindsight Priors for Reward Learning from Human Preferences
Mudit Verma
Katherine Metcalf
32
8
0
17 Oct 2022
Exploration via Elliptical Episodic Bonuses
Mikael Henaff
Roberta Raileanu
Minqi Jiang
Tim Rocktaschel
OffRL
29
39
0
11 Oct 2022
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
Jeongyeol Kwon
Yonathan Efroni
C. Caramanis
Shie Mannor
29
5
0
05 Oct 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation
Julian Alverio
Boris Katz
Andrei Barbu
32
0
0
05 Oct 2022
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States
C. Banerjee
Zhiyong Chen
N. Noman
20
3
0
01 Oct 2022
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