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Reverse Curriculum Generation for Reinforcement Learning
v1v2v3 (latest)

Reverse Curriculum Generation for Reinforcement Learning

17 July 2017
Carlos Florensa
David Held
Markus Wulfmeier
Michael Zhang
Pieter Abbeel
ArXiv (abs)PDFHTML

Papers citing "Reverse Curriculum Generation for Reinforcement Learning"

50 / 274 papers shown
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
260
1
0
22 Jul 2022
Introspective Experience Replay: Look Back When Surprised
Introspective Experience Replay: Look Back When Surprised
Ramnath Kumar
Dheeraj M. Nagaraj
OffRL
313
3
0
07 Jun 2022
Achieving Goals using Reward Shaping and Curriculum Learning
Achieving Goals using Reward Shaping and Curriculum LearningFuture Technologies Conference (FT), 2022
M. Anca
Jonathan D. Thomas
Dabal Pedamonti
M. Studley
Mark Hansen
195
2
0
06 Jun 2022
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive
  Hierarchical Curriculum
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical CurriculumJournal of Intelligent and Robotic Systems (J. Intell. Robot. Syst.), 2022
Lingfeng Tao
Jiucai Zhang
Xiaoli Zhang
304
5
0
26 May 2022
Constrained Reinforcement Learning for Short Video Recommendation
Constrained Reinforcement Learning for Short Video Recommendation
Qingpeng Cai
Ruohan Zhan
Chi Zhang
Jie Zheng
Guangwei Ding
Pinghua Gong
Dong Zheng
Peng Jiang
151
10
0
26 May 2022
Learning Dense Reward with Temporal Variant Self-Supervision
Learning Dense Reward with Temporal Variant Self-Supervision
Yuning Wu
Jieliang Luo
Hui Li
SSL
129
1
0
20 May 2022
Learning Progress Driven Multi-Agent Curriculum
Learning Progress Driven Multi-Agent Curriculum
Wenshuai Zhao
Zhiyuan Li
Joni Pajarinen
476
1
0
20 May 2022
Exploration in Deep Reinforcement Learning: A Survey
Exploration in Deep Reinforcement Learning: A SurveyInformation Fusion (Inf. Fusion), 2022
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
335
507
0
02 May 2022
Divide & Conquer Imitation Learning
Divide & Conquer Imitation LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Alexandre Chenu
Nicolas Perrin-Gilbert
Olivier Sigaud
220
5
0
15 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
255
5
0
12 Apr 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive
  Curriculum
Learning to Solve Travelling Salesman Problem with Hardness-adaptive CurriculumAAAI Conference on Artificial Intelligence (AAAI), 2022
Zeyang Zhang
Ziwei Zhang
Xin Eric Wang
Wenwu Zhu
159
60
0
07 Apr 2022
Jump-Start Reinforcement Learning
Jump-Start Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022
Ikechukwu Uchendu
Ted Xiao
Yao Lu
Banghua Zhu
Mengyuan Yan
...
Chuyuan Fu
Cong Ma
Jiantao Jiao
Sergey Levine
Karol Hausman
OffRLOnRL
319
145
0
05 Apr 2022
Automating Reinforcement Learning with Example-based Resets
Automating Reinforcement Learning with Example-based ResetsIEEE Robotics and Automation Letters (RA-L), 2022
Jigang Kim
Jaehyeon Park
Daesol Cho
H. J. Kim
CLLOnRL
300
17
0
05 Apr 2022
Topological Experience Replay
Topological Experience ReplayInternational Conference on Learning Representations (ICLR), 2022
Zhang-Wei Hong
Tao Chen
Yen-Chen Lin
Joni Pajarinen
Pulkit Agrawal
204
21
0
29 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
421
166
0
02 Mar 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for
  Mapless Navigation in Intralogistics
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in IntralogisticsApplied Sciences (Appl. Sci.), 2022
Honghu Xue
Benedikt Hein
M. Bakr
Georg Schildbach
Bengt Abel
Elmar Rueckert
263
24
0
23 Feb 2022
Improving Intrinsic Exploration with Language Abstractions
Improving Intrinsic Exploration with Language AbstractionsNeural Information Processing Systems (NeurIPS), 2022
Jesse Mu
Victor Zhong
Roberta Raileanu
Minqi Jiang
Noah D. Goodman
Tim Rocktaschel
Edward Grefenstette
294
72
0
17 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
165
11
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
290
7
0
16 Feb 2022
Automated Reinforcement Learning: An Overview
Automated Reinforcement Learning: An Overview
Reza Refaei Afshar
Yingqian Zhang
Joaquin Vanschoren
U. Kaymak
OffRL
392
18
0
13 Jan 2022
Boosting the Capability of Intelligent Vulnerability Detection by
  Training in a Human-Learning Manner
Boosting the Capability of Intelligent Vulnerability Detection by Training in a Human-Learning Manner
Jiajun Sun
Yueming Wu
Wenxuan Li
Feng Cheng
Wei Yang
Yang Liu
132
0
0
12 Dec 2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative
  Multi-Agent Problems
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
Jiayu Chen
Yuanxin Zhang
Yuanfan Xu
Huimin Ma
Huazhong Yang
Jiaming Song
Yu Wang
Yi Wu
VLMDRL
229
40
0
08 Nov 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
Hindsight Goal Ranking on Replay Buffer for Sparse Reward EnvironmentIEEE Access (IEEE Access), 2021
Tung M. Luu
Chang D. Yoo
167
12
0
28 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
C-Planning: An Automatic Curriculum for Learning Goal-Reaching TasksInternational Conference on Learning Representations (ICLR), 2021
Tianjun Zhang
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
Joseph E. Gonzalez
OffRL
217
18
0
22 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning
Learning Multi-Objective Curricula for Robotic Policy Learning
Jikun Kang
Miao Liu
Abhinav Gupta
C. Pal
Xue Liu
Jie Fu
297
6
0
06 Oct 2021
Hierarchies of Planning and Reinforcement Learning for Robot Navigation
Hierarchies of Planning and Reinforcement Learning for Robot NavigationIEEE International Conference on Robotics and Automation (ICRA), 2021
J. Wöhlke
Felix Schmitt
H. V. Hoof
163
31
0
23 Sep 2021
DCUR: Data Curriculum for Teaching via Samples with Reinforcement
  Learning
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning
Daniel Seita
Abhinav Gopal
Zhao Mandi
John F. Canny
OffRLOnRL
123
0
0
15 Sep 2021
Spatial Transformer Networks for Curriculum Learning
Spatial Transformer Networks for Curriculum LearningInternational Conference on Digital Image Computing: Techniques and Applications (DICTA), 2021
Fatemeh Azimi
Jean-Francois Nies
Sebastián M. Palacio
Federico Raue
Jörn Hees
Andreas Dengel
106
2
0
22 Aug 2021
Learning to Design and Construct Bridge without Blueprint
Learning to Design and Construct Bridge without BlueprintIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Yunfei Li
Tao Kong
Lei Li
Yifeng Li
Yi Wu
224
9
0
05 Aug 2021
Parallelized Reverse Curriculum Generation
Parallelized Reverse Curriculum Generation
Zih-Yun Chiu
Yi-Lin Tuan
Hung-yi Lee
Li-Chen Fu
154
1
0
04 Aug 2021
Policy Gradients Incorporating the Future
Policy Gradients Incorporating the FutureInternational Conference on Learning Representations (ICLR), 2021
David Venuto
Elaine Lau
Doina Precup
Ofir Nachum
OffRL
279
9
0
04 Aug 2021
Autonomous Reinforcement Learning via Subgoal Curricula
Autonomous Reinforcement Learning via Subgoal CurriculaNeural Information Processing Systems (NeurIPS), 2021
Archit Sharma
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
246
32
0
27 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
603
8
0
13 Jul 2021
Multi-Agent Curricula and Emergent Implicit Signaling
Multi-Agent Curricula and Emergent Implicit SignalingAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
Niko A. Grupen
Daniel D. Lee
B. Selman
289
11
0
21 Jun 2021
Learning from Demonstration without Demonstrations
Learning from Demonstration without Demonstrations
Tom Blau
Gilad Francis
Philippe Morere
OffRL
138
1
0
17 Jun 2021
Automatic Curricula via Expert Demonstrations
Automatic Curricula via Expert Demonstrations
Siyu Dai
Andreas G. Hofmann
B. Williams
219
7
0
16 Jun 2021
Self-Paced Context Evaluation for Contextual Reinforcement Learning
Self-Paced Context Evaluation for Contextual Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Theresa Eimer
André Biedenkapp
Katharina Eggensperger
Marius Lindauer
OffRLLRM
222
33
0
09 Jun 2021
Curriculum Design for Teaching via Demonstrations: Theory and
  Applications
Curriculum Design for Teaching via Demonstrations: Theory and ApplicationsNeural Information Processing Systems (NeurIPS), 2021
Gaurav Yengera
R. Devidze
Parameswaran Kamalaruban
Adish Singla
413
9
0
08 Jun 2021
Coarse-to-Fine Curriculum Learning
Coarse-to-Fine Curriculum Learning
Otilia Stretcu
Emmanouil Antonios Platanios
Tom Michael Mitchell
Barnabas Poczos
140
12
0
08 Jun 2021
Heuristic-Guided Reinforcement Learning
Heuristic-Guided Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021
Ching-An Cheng
Andrey Kolobov
Adith Swaminathan
OffRL
304
73
0
05 Jun 2021
Solving Sokoban with forward-backward reinforcement learning
Solving Sokoban with forward-backward reinforcement learningSymposium on Combinatorial Search (SoCS), 2021
Yaron Shoham
G. Elidan
OffRL
226
8
0
05 May 2021
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative
  Environments
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative EnvironmentsIEEE Robotics and Automation Letters (RA-L), 2021
Benjamin Rivière
Wolfgang Hoenig
Matthew O. Anderson
Soon-Jo Chung
324
13
0
20 Apr 2021
GridToPix: Training Embodied Agents with Minimal Supervision
GridToPix: Training Embodied Agents with Minimal SupervisionIEEE International Conference on Computer Vision (ICCV), 2021
Unnat Jain
Iou-Jen Liu
Svetlana Lazebnik
Aniruddha Kembhavi
Luca Weihs
Alex Schwing
284
23
0
14 Apr 2021
A model-based framework for learning transparent swarm behaviors
A model-based framework for learning transparent swarm behaviors
M. Coppola
Jian Guo
E. Gill
Guido de Croon
OffRL
113
1
0
09 Mar 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications
  to Reinforcement Learning
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement LearningJournal of machine learning research (JMLR), 2021
Pascal Klink
Hany Abdulsamad
Boris Belousov
Carlo DÉramo
Jan Peters
Joni Pajarinen
237
29
0
25 Feb 2021
Curriculum Learning: A Survey
Curriculum Learning: A SurveyInternational Journal of Computer Vision (IJCV), 2021
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
Andrii Zadaianchuk
ODL
599
486
0
25 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic
  manipulation
Asymmetric self-play for automatic goal discovery in robotic manipulation
OpenAI OpenAI
Matthias Plappert
Raul Sampedro
Tao Xu
Ilge Akkaya
...
Hyeonwoo Noh
Lilian Weng
Qiming Yuan
Casey Chu
Wojciech Zaremba
SSL
294
93
0
13 Jan 2021
BeBold: Exploration Beyond the Boundary of Explored Regions
BeBold: Exploration Beyond the Boundary of Explored Regions
Tianjun Zhang
Huazhe Xu
Xiaolong Wang
Yi Wu
Kurt Keutzer
Joseph E. Gonzalez
Yuandong Tian
206
43
0
15 Dec 2020
Episodic Self-Imitation Learning with Hindsight
Episodic Self-Imitation Learning with Hindsight
Tianhong Dai
Hengyan Liu
Anil Anthony Bharath
154
11
0
26 Nov 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks
Learning Dense Rewards for Contact-Rich Manipulation TasksIEEE International Conference on Robotics and Automation (ICRA), 2020
Zheng Wu
Wenzhao Lian
Vaibhav Unhelkar
Masayoshi Tomizuka
S. Schaal
324
47
0
17 Nov 2020
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