Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2006.09641
Cited By
Automatic Curriculum Learning through Value Disagreement
17 June 2020
Yunzhi Zhang
Pieter Abbeel
Lerrel Pinto
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Automatic Curriculum Learning through Value Disagreement"
50 / 83 papers shown
Correspondence-Oriented Imitation Learning: Flexible Visuomotor Control with 3D Conditioning
Yunhao Cao
Zubin Bhaumik
Jessie Jia
Xingyi He
Kuan Fang
57
1
0
05 Dec 2025
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu
Xinyi Yang
Jiayu Zhan
Wei Liang
Chi Zhang
Yixin Zhu
210
1
0
21 Oct 2025
A Framework for Scalable Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab
Isaac Peterson
Christopher Allred
Jacob Morrey
Mario Harper
197
0
0
26 Sep 2025
Orchestrate, Generate, Reflect: A VLM-Based Multi-Agent Collaboration Framework for Automated Driving Policy Learning
Zengqi Peng
Yusen Xie
Yubin Wang
Rui Yang
Qifeng Chen
Jun Ma
150
0
0
21 Sep 2025
Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning
Jiayu Wang
Yifei Ming
Zixuan Ke
Caiming Xiong
Shafiq Joty
Aws Albarghouthi
Frederic Sala
OffRL
ReLM
LRM
418
5
0
05 Jun 2025
State-Covering Trajectory Stitching for Diffusion Planners
Kyowoon Lee
Jaesik Choi
OffRL
475
5
0
01 Jun 2025
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
Leander Diaz-Bone
Marco Bagatella
Jonas Hübotter
Andreas Krause
OffRL
365
8
0
26 May 2025
Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
Ruishuo Chen
Xun Wang
Rui Hu
Zhuoran Li
Longbo Huang
336
0
0
26 May 2025
Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning
Nicolas Castanet
Olivier Sigaud
Sylvain Lamprier
OffRL
605
0
0
23 May 2025
Active Robot Curriculum Learning from Online Human Demonstrations
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2025
Muhan Hou
Koen V. Hindriks
A. E. Eiben
Kim Baraka
327
2
0
04 Mar 2025
Autonomous Curriculum Design via Relative Entropy Based Task Modifications
Muhammed Yusuf Satici
Jianxun Wang
David L. Roberts
180
1
0
28 Feb 2025
Learning World Models for Unconstrained Goal Navigation
Neural Information Processing Systems (NeurIPS), 2024
Yuanlin Duan
Wensen Mao
He Zhu
287
9
0
03 Nov 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2024
Yuanlin Duan
Guofeng Cui
He Zhu
OffRL
433
1
0
03 Nov 2024
Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation
IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2024
Paul Jansonnie
Bingbing Wu
Julien Perez
Jan Peters
SSL
380
3
0
07 Oct 2024
Grounded Curriculum Learning
Linji Wang
Zifan Xu
Peter Stone
Xuesu Xiao
376
11
0
29 Sep 2024
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance
Conference on Robot Learning (CoRL), 2024
Renming Huang
Shaochong Liu
Yunqiang Pei
Peng Wang
Guoqing Wang
Yang Yang
Hengtao Shen
OffRL
327
1
0
06 Sep 2024
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Georgios Tzannetos
Parameswaran Kamalaruban
Adish Singla
273
9
0
03 May 2024
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
International Conference on Machine Learning (ICML), 2024
Onur Celik
Aleksandar Taranovic
Gerhard Neumann
397
19
0
11 Mar 2024
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
International Conference on Machine Learning (ICML), 2024
Samuel Garcin
James Doran
Shangmin Guo
Christopher G. Lucas
Stefano V. Albrecht
566
14
0
05 Feb 2024
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
International Conference on Learning Representations (ICLR), 2023
Aryaman Reddi
Maximilian Tölle
Jan Peters
Georgia Chalvatzaki
Carlo DÉramo
233
11
0
03 Nov 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
International Conference on Machine Learning (ICML), 2023
Seongun Kim
Kyowoon Lee
Jaesik Choi
SSL
DRL
353
16
0
30 Oct 2023
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
Neural Information Processing Systems (NeurIPS), 2023
Daesol Cho
Seungjae Lee
H. J. Kim
OODD
334
4
0
30 Oct 2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model
Neural Information Processing Systems (NeurIPS), 2023
Seungjae Lee
Daesol Cho
Jonghae Park
H. J. Kim
260
15
0
26 Oct 2023
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving
Xueliang Zhao
Xinting Huang
Wei Bi
Lingpeng Kong
LRM
278
1
0
19 Oct 2023
Imitation Learning from Observation with Automatic Discount Scheduling
International Conference on Learning Representations (ICLR), 2023
Yuyang Liu
Weijun Dong
Yingdong Hu
Chuan Wen
Zhao-Heng Yin
Chongjie Zhang
Yang Gao
363
14
0
11 Oct 2023
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Jiayu Chen
Zelai Xu
Yunfei Li
Chao Yu
Jiaming Song
Huazhong Yang
Fei Fang
Yu Wang
Yi Wu
334
7
0
07 Oct 2023
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning
Samuel Garcin
James Doran
Shangmin Guo
Christopher G. Lucas
Stefano V. Albrecht
349
0
0
05 Oct 2023
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Pascal Klink
Carlo DÉramo
Jan Peters
Joni Pajarinen
275
8
0
25 Sep 2023
Towards A Unified Agent with Foundation Models
Norman Di Palo
Arunkumar Byravan
Leonard Hasenclever
Markus Wulfmeier
N. Heess
Martin Riedmiller
LM&Ro
LLMAG
OffRL
323
73
0
18 Jul 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning
IEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023
Hongyu Ding
Yuan-Yan Tang
Qing Wu
Bo Wang
Chunlin Chen
Zhi Wang
480
10
0
16 Jul 2023
Maneuver Decision-Making Through Automatic Curriculum Reinforcement Learning Without Handcrafted Reward functions
Applied Sciences (Appl. Sci.), 2023
Hong-Peng Zhang
165
7
0
12 Jul 2023
OMNI: Open-endedness via Models of human Notions of Interestingness
Jenny Zhang
Joel Lehman
Kenneth O. Stanley
Jeff Clune
LRM
524
57
0
02 Jun 2023
Reward-Machine-Guided, Self-Paced Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Cevahir Köprülü
Ufuk Topcu
293
4
0
25 May 2023
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving
Xueliang Zhao
Wenda Li
Lingpeng Kong
292
40
0
25 May 2023
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning
Kibeom Kim
Hyun-Dong Lee
Min Whoo Lee
Moonheon Lee
Minsu Lee
Byoung-Tak Zhang
265
1
0
23 May 2023
Proximal Curriculum for Reinforcement Learning Agents
Georgios Tzannetos
Bárbara Gomes Ribeiro
Parameswaran Kamalaruban
Adish Singla
268
15
0
25 Apr 2023
Planning Goals for Exploration
International Conference on Learning Representations (ICLR), 2023
E. Hu
Richard Chang
Oleh Rybkin
Dinesh Jayaraman
299
32
0
23 Mar 2023
Visual-Policy Learning through Multi-Camera View to Single-Camera View Knowledge Distillation for Robot Manipulation Tasks
IEEE Robotics and Automation Letters (RA-L), 2023
C. Acar
Kuluhan Binici
Alp Tekirdag
Yan Wu
212
11
0
13 Mar 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World
IEEE International Conference on Robotics and Automation (ICRA), 2023
Russell Mendonca
Shikhar Bahl
Deepak Pathak
LM&Ro
215
28
0
13 Feb 2023
Diversity Induced Environment Design via Self-Play
Dexun Li
Wenjun Li
Pradeep Varakantham
330
0
0
04 Feb 2023
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2023
Mobarakol Islam
Lalithkumar Seenivasan
S. Sharan
V. Viekash
Bhavesh Gupta
Ben Glocker
Hongliang Ren
296
12
0
02 Feb 2023
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation
International Conference on Learning Representations (ICLR), 2023
Daesol Cho
Seungjae Lee
H. J. Kim
479
17
0
27 Jan 2023
Understanding the Complexity Gains of Single-Task RL with a Curriculum
International Conference on Machine Learning (ICML), 2022
Qiyang Li
Yuexiang Zhai
Yi-An Ma
Sergey Levine
452
20
0
24 Dec 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
International Conference on Machine Learning (ICML), 2022
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
300
6
0
18 Nov 2022
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Kuan Fang
Toki Migimatsu
Ajay Mandlekar
Li Fei-Fei
Jeannette Bohg
209
8
0
11 Nov 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation
Julian Alverio
Boris Katz
Andrei Barbu
225
1
0
05 Oct 2022
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning
Kang Xu
Yan Ma
Wei Li
425
0
0
23 Sep 2022
Cell-Free Latent Go-Explore
International Conference on Machine Learning (ICML), 2022
Quentin Gallouedec
Emmanuel Dellandrea
472
4
0
31 Aug 2022
Goal-Conditioned Q-Learning as Knowledge Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Alexander Levine
Soheil Feizi
OffRL
431
4
0
28 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
David Klee
Ondrej Biza
Robert Platt
OffRL
358
1
0
22 Jul 2022
1
2
Next
Page 1 of 2
