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EX2: Exploration with Exemplar Models for Deep Reinforcement Learning

EX2: Exploration with Exemplar Models for Deep Reinforcement Learning

3 March 2017
Justin Fu
John D. Co-Reyes
Sergey Levine
    OffRL
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Papers citing "EX2: Exploration with Exemplar Models for Deep Reinforcement Learning"

35 / 35 papers shown
Title
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
Yongshuai Liu
Xin Liu
GAN
103
2
0
24 Mar 2025
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Haozhe Ma
Zhengding Luo
Thanh Vinh Vo
Kuankuan Sima
Tze-Yun Leong
46
6
0
06 Aug 2024
Random Latent Exploration for Deep Reinforcement Learning
Random Latent Exploration for Deep Reinforcement Learning
Srinath Mahankali
Zhang-Wei Hong
Ayush Sekhari
Alexander Rakhlin
Pulkit Agrawal
33
3
0
18 Jul 2024
Safety through feedback in Constrained RL
Safety through feedback in Constrained RL
Shashank Reddy Chirra
Pradeep Varakantham
P. Paruchuri
OffRL
51
1
0
28 Jun 2024
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
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
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
OffRL
OnRL
34
1
0
12 Oct 2023
Novelty Detection in Reinforcement Learning with World Models
Novelty Detection in Reinforcement Learning with World Models
Geigh Zollicoffer
Kenneth Eaton
Jonathan C. Balloch
Julia Kim
Mark O. Riedl
Robert Wright
Mark O. Riedl
28
1
0
12 Oct 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse
Jiafei Lyu
Le Wan
Zongqing Lu
Xiu Li
OffRL
36
9
0
29 May 2023
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control
Xiang Zheng
Xingjun Ma
Cong Wang
31
1
0
28 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
48
5
0
18 Nov 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
39
35
0
19 Sep 2022
Human-to-Robot Imitation in the Wild
Human-to-Robot Imitation in the Wild
Shikhar Bahl
Abhi Gupta
Deepak Pathak
30
165
0
19 Jul 2022
Exploration in Deep Reinforcement Learning: A Survey
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
26
324
0
02 May 2022
Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects
Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects
Yujie Lu
Jianren Wang
Vikash Kumar
31
4
0
31 Mar 2022
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven
  Learning in Artificial Intelligence Tasks
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks
Chenyu Sun
Hangwei Qian
Chunyan Miao
18
10
0
20 Jan 2022
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
38
93
0
14 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning
A Survey of Exploration Methods in Reinforcement Learning
Susan Amin
Maziar Gomrokchi
Harsh Satija
H. V. Hoof
Doina Precup
OffRL
34
80
0
01 Sep 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
Alex Schwing
42
104
0
23 Jul 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
16
517
0
04 Feb 2021
Optimising Stochastic Routing for Taxi Fleets with Model Enhanced
  Reinforcement Learning
Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning
Shen Ren
Qianxiao Li
Liye Zhang
Zheng Qin
Bo Yang
26
0
0
22 Oct 2020
Latent World Models For Intrinsically Motivated Exploration
Latent World Models For Intrinsically Motivated Exploration
Aleksandr Ermolov
N. Sebe
25
25
0
05 Oct 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
29
510
0
30 Mar 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled
  Exploration
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration
Guy Van den Broeck
Yitao Liang
Mathias Niepert
OffRL
22
3
0
25 Feb 2020
Multi-Path Policy Optimization
Multi-Path Policy Optimization
L. Pan
Qingpeng Cai
Longbo Huang
18
2
0
11 Nov 2019
Segregation Dynamics with Reinforcement Learning and Agent Based
  Modeling
Segregation Dynamics with Reinforcement Learning and Agent Based Modeling
Egemen Sert
Y. Bar-Yam
A. Morales
16
39
0
18 Sep 2019
Self-Supervised Exploration via Disagreement
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
35
375
0
10 Jun 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep
  Reinforcement Learning
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning
Sandy H. Huang
Martina Zambelli
Jackie Kay
M. Martins
Yuval Tassa
P. Pilarski
R. Hadsell
20
50
0
20 Mar 2019
Provably Efficient Maximum Entropy Exploration
Provably Efficient Maximum Entropy Exploration
Elad Hazan
Sham Kakade
Karan Singh
A. V. Soest
36
293
0
06 Dec 2018
Episodic Curiosity through Reachability
Episodic Curiosity through Reachability
Nikolay Savinov
Anton Raichuk
Raphaël Marinier
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
14
266
0
04 Oct 2018
Structured Adversarial Attack: Towards General Implementation and Better
  Interpretability
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu
Sijia Liu
Pu Zhao
Pin-Yu Chen
Huan Zhang
Quanfu Fan
Deniz Erdogmus
Yanzhi Wang
X. Lin
AAML
21
160
0
05 Aug 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement
  Learning with Trajectory Embeddings
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
John D. Co-Reyes
YuXuan Liu
Abhishek Gupta
Benjamin Eysenbach
Pieter Abbeel
Sergey Levine
SSL
BDL
AIFin
37
142
0
07 Jun 2018
Learning Self-Imitating Diverse Policies
Learning Self-Imitating Diverse Policies
Tanmay Gangwani
Qiang Liu
Jian Peng
27
65
0
25 May 2018
Learning Awareness Models
Learning Awareness Models
Brandon Amos
Laurent Dinh
Serkan Cabi
Thomas Rothörl
Sergio Gomez Colmenarejo
Alistair Muldal
Tom Erez
Yuval Tassa
Nando de Freitas
Misha Denil
29
44
0
17 Apr 2018
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
48
2,399
0
15 May 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
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