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Automatic Goal Generation for Reinforcement Learning Agents
v1v2v3v4v5 (latest)

Automatic Goal Generation for Reinforcement Learning Agents

17 May 2017
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
ArXiv (abs)PDFHTML

Papers citing "Automatic Goal Generation for Reinforcement Learning Agents"

50 / 321 papers shown
Title
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer
  across Agents
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents
Minghuan Liu
Zhengbang Zhu
Menghui Zhu
Yuzheng Zhuang
Weinan Zhang
Jianye Hao
165
0
0
18 Dec 2022
First Go, then Post-Explore: the Benefits of Post-Exploration in
  Intrinsic Motivation
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic MotivationInternational Conference on Agents and Artificial Intelligence (ICAART), 2022
Zhao Yang
Thomas M. Moerland
Mike Preuss
Aske Plaat
159
2
0
06 Dec 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic EnvironmentsInternational Conference on Machine Learning (ICML), 2022
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
189
6
0
18 Nov 2022
Active Task Randomization: Learning Robust Skills via Unsupervised
  Generation of Diverse and Feasible Tasks
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible TasksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Kuan Fang
Toki Migimatsu
Ajay Mandlekar
Li Fei-Fei
Jeannette Bohg
144
6
0
11 Nov 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward
  Long-Horizon Goal-Conditioned Reinforcement Learning
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement LearningMachine-mediated learning (ML), 2022
Lisheng Wu
Ke Chen
248
7
0
28 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for
  Industrial Insertion of Novel Connectors from Vision
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from VisionIEEE International Conference on Robotics and Automation (ICRA), 2022
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
OffRLOnRL
315
19
0
27 Oct 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon
  Manipulation
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon ManipulationIEEE Robotics and Automation Letters (RA-L), 2022
Shuo Cheng
Danfei Xu
309
53
0
23 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
CLUTR: Curriculum Learning via Unsupervised Task Representation LearningInternational Conference on Machine Learning (ICML), 2022
Abdus Salam Azad
Izzeddin Gur
Jasper Emhoff
Nathaniel Alexis
Aleksandra Faust
Pieter Abbeel
Ion Stoica
SSL
238
17
0
19 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain AdaptationNeural Information Processing Systems (NeurIPS), 2022
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
224
31
0
18 Oct 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
A Policy-Guided Imitation Approach for Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Haoran Xu
Li Jiang
Jianxiong Li
Xianyuan Zhan
OffRL
367
74
0
15 Oct 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement
  Learning
Causality-driven Hierarchical Structure Discovery for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Shaohui Peng
Xin Hu
Rui Zhang
Ke Tang
Jiaming Guo
...
Xishan Zhang
Zidong Du
Ling Li
Qi Guo
Yunji Chen
159
34
0
13 Oct 2022
Query The Agent: Improving sample efficiency through epistemic
  uncertainty estimation
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation
Julian Alverio
Boris Katz
Andrei Barbu
177
1
0
05 Oct 2022
Quantification before Selection: Active Dynamics Preference for Robust
  Reinforcement Learning
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning
Kang Xu
Yan Ma
Wei Li
212
0
0
23 Sep 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
226
50
0
19 Sep 2022
Cell-Free Latent Go-Explore
Cell-Free Latent Go-ExploreInternational Conference on Machine Learning (ICML), 2022
Quentin Gallouedec
Emmanuel Dellandrea
257
3
0
31 Aug 2022
Goal-Conditioned Q-Learning as Knowledge Distillation
Goal-Conditioned Q-Learning as Knowledge DistillationAAAI Conference on Artificial Intelligence (AAAI), 2022
Alexander Levine
Soheil Feizi
OffRL
326
3
0
28 Aug 2022
Human Decision Makings on Curriculum Reinforcement Learning with
  Difficulty Adjustment
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment
Yilei Zeng
Jiali Duan
Yongqian Li
Emilio Ferrara
Lerrel Pinto
Chloe Kuo
Stefanos Nikolaidis
132
4
0
04 Aug 2022
Backward Imitation and Forward Reinforcement Learning via Bi-directional
  Model Rollouts
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model RolloutsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Yuxin Pan
Fangzhen Lin
OffRL
156
3
0
04 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
Graph-Structured Policy Learning for Multi-Goal Manipulation TasksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
David Klee
Ondrej Biza
Robert Platt
OffRL
212
1
0
22 Jul 2022
Feasible Adversarial Robust Reinforcement Learning for Underspecified
  Environments
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
JB Lanier
Alexander Shmakov
Pierre Baldi
Roy Fox
176
10
0
19 Jul 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational
  Causal Reasoning
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal ReasoningNeural Information Processing Systems (NeurIPS), 2022
Wenhao Ding
Haohong Lin
Yue Liu
Ding Zhao
LRM
448
49
0
19 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Grounding Aleatoric Uncertainty for Unsupervised Environment DesignNeural Information Processing Systems (NeurIPS), 2022
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Andrei Lupu
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
Jakob N. Foerster
317
16
0
11 Jul 2022
Learning fast and agile quadrupedal locomotion over complex terrain
Learning fast and agile quadrupedal locomotion over complex terrain
Xu Chang
Zhitong Zhang
Honglei An
Hongxu Ma
Qing Wei
138
0
0
02 Jul 2022
Guided Exploration in Reinforcement Learning via Monte Carlo Critic
  Optimization
Guided Exploration in Reinforcement Learning via Monte Carlo Critic OptimizationAdaptive Agents and Multi-Agent Systems (AAMAS), 2022
Igor Kuznetsov
207
2
0
25 Jun 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement LearningScience China Information Sciences (Sci. China Inf. Sci.), 2022
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRLLRM
268
142
0
19 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction
BYOL-Explore: Exploration by Bootstrapped PredictionNeural Information Processing Systems (NeurIPS), 2022
Z. Guo
S. Thakoor
Miruna Pislar
Bernardo Avila-Pires
Florent Altché
...
Yunhao Tang
Michal Valko
Rémi Munos
M. G. Azar
Bilal Piot
230
84
0
16 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSLOffRL
267
209
0
15 Jun 2022
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal
  Reinforcement Learning
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022
Nicolas Castanet
Sylvain Lamprier
Olivier Sigaud
183
4
0
14 Jun 2022
Learning Progress Driven Multi-Agent Curriculum
Learning Progress Driven Multi-Agent Curriculum
Wenshuai Zhao
Zhiyuan Li
Joni Pajarinen
356
1
0
20 May 2022
Autonomous Open-Ended Learning of Tasks with Non-Stationary
  Interdependencies
Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies
A. Romero
Gianluca Baldassarre
Richard J. Duro
V. Santucci
176
0
0
16 May 2022
P3IV: Probabilistic Procedure Planning from Instructional Videos with
  Weak Supervision
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak SupervisionComputer Vision and Pattern Recognition (CVPR), 2022
Henghui Zhao
Isma Hadji
Nikita Dvornik
Konstantinos G. Derpanis
Richard P. Wildes
Allan D. Jepson
198
53
0
04 May 2022
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction
Luigi Filippo Chiara
Pasquale Coscia
Sourav Das
Simone Calderara
Rita Cucchiara
Lamberto Ballan
273
59
0
25 Apr 2022
GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with
  Application to Robotic Grasping
GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with Application to Robotic GraspingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Anil Kurkcu
C. Acar
D. Campolo
K. P. Tee
142
1
0
14 Apr 2022
Learning Design and Construction with Varying-Sized Materials via
  Prioritized Memory Resets
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory ResetsIEEE International Conference on Robotics and Automation (ICRA), 2022
Yunfei Li
Tao Kong
Lei Li
Yi Wu
223
5
0
12 Apr 2022
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and
  Stability
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and Stability
Juan Jose Garau-Luis
Yingjie Miao
John D. Co-Reyes
Aaron T Parisi
Jie Tan
Esteban Real
Aleksandra Faust
190
0
0
08 Apr 2022
A Framework for Following Temporal Logic Instructions with Unknown
  Causal Dependencies
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies
Duo Xu
Faramarz Fekri
175
2
0
07 Apr 2022
When to Go, and When to Explore: The Benefit of Post-Exploration in
  Intrinsic Motivation
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation
Zhao Yang
Thomas M. Moerland
Mike Preuss
Aske Plaat
140
2
0
29 Mar 2022
Assessing Evolutionary Terrain Generation Methods for Curriculum
  Reinforcement Learning
Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement LearningAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2022
David Howard
Josh Kannemeyer
Davide Dolcetti
Humphrey Munn
Nicole L. Robinson
195
5
0
29 Mar 2022
AutoDIME: Automatic Design of Interesting Multi-Agent Environments
AutoDIME: Automatic Design of Interesting Multi-Agent Environments
I. Kanitscheider
Harrison Edwards
115
0
0
04 Mar 2022
Evolving Curricula with Regret-Based Environment Design
Evolving Curricula with Regret-Based Environment DesignInternational Conference on Machine Learning (ICML), 2022
Jack Parker-Holder
Minqi Jiang
Michael Dennis
Mikayel Samvelyan
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
333
160
0
02 Mar 2022
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum
  Generation
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum GenerationInternational Conference on Learning Representations (ICLR), 2022
Yuqing Du
Pieter Abbeel
Aditya Grover
192
20
0
22 Feb 2022
Rule Mining over Knowledge Graphs via Reinforcement Learning
Rule Mining over Knowledge Graphs via Reinforcement LearningKnowledge-Based Systems (KBS), 2022
Lihan Chen
Sihang Jiang
Jingping Liu
Chao Wang
Shenmin Zhang
Chenhao Xie
Jiaqing Liang
Yanghua Xiao
Rui Song
117
21
0
21 Feb 2022
Robust Reinforcement Learning via Genetic Curriculum
Robust Reinforcement Learning via Genetic CurriculumIEEE International Conference on Robotics and Automation (ICRA), 2022
Yeeho Song
J. Schneider
106
10
0
17 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Open-Ended Reinforcement Learning with Neural Reward FunctionsNeural Information Processing Systems (NeurIPS), 2022
Robert Meier
Asier Mujika
262
7
0
16 Feb 2022
Online Decision Transformer
Online Decision TransformerInternational Conference on Machine Learning (ICML), 2022
Qinqing Zheng
Amy Zhang
Aditya Grover
OffRL
215
233
0
11 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning
Contextualize Me -- The Case for Context in Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
Aditya Mohan
Sebastian Dohler
André Biedenkapp
Bodo Rosenhahn
Katharina Eggensperger
Marius Lindauer
OffRL
302
45
0
09 Feb 2022
Rethinking Goal-conditioned Supervised Learning and Its Connection to
  Offline RL
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RLInternational Conference on Learning Representations (ICLR), 2022
Rui Yang
Yiming Lu
Wenzhe Li
Hao Sun
Meng Fang
Yali Du
Xiu Li
Lei Han
Chongjie Zhang
OffRL
275
86
0
09 Feb 2022
State-Conditioned Adversarial Subgoal Generation
State-Conditioned Adversarial Subgoal GenerationAAAI Conference on Artificial Intelligence (AAAI), 2022
V. Wang
Joni Pajarinen
Tinghuai Wang
Joni-Kristian Kämäräinen
275
15
0
24 Jan 2022
Environment Generation for Zero-Shot Compositional Reinforcement
  Learning
Environment Generation for Zero-Shot Compositional Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Izzeddin Gur
Natasha Jaques
Yingjie Miao
Jongwook Choi
Manoj Kumar Tiwari
Honglak Lee
Aleksandra Faust
218
45
0
21 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and SolutionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Minghuan Liu
Menghui Zhu
Weinan Zhang
288
176
0
20 Jan 2022
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