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1910.02826
Cited By
Self-Paced Contextual Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
7 October 2019
Pascal Klink
Hany Abdulsamad
Boris Belousov
Jan Peters
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Papers citing
"Self-Paced Contextual Reinforcement Learning"
28 / 28 papers shown
Observations Meet Actions: Learning Control-Sufficient Representations for Robust Policy Generalization
Yuliang Gu
H. Cao
Marco Caccamo
N. Hovakimyan
OffRL
BDL
200
0
0
25 Jul 2025
Trajectory First: A Curriculum for Discovering Diverse Policies
Cornelius V. Braun
Sayantan Auddy
Marc Toussaint
297
0
0
02 Jun 2025
On Bits and Bandits: Quantifying the Regret-Information Trade-off
Itai Shufaro
Nadav Merlis
Nir Weinberger
Shie Mannor
524
1
0
26 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
335
16
0
11 Mar 2024
Domain Randomization via Entropy Maximization
International Conference on Learning Representations (ICLR), 2023
Gabriele Tiboni
Pascal Klink
Jan Peters
Tatiana Tommasi
Carlo DÉramo
Georgia Chalvatzaki
285
20
0
03 Nov 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
227
7
0
25 Sep 2023
Self-Paced Absolute Learning Progress as a Regularized Approach to Curriculum Learning
Tobias Niehues
Ulla Scheler
Pascal Klink
189
0
0
09 Jun 2023
Reward-Machine-Guided, Self-Paced Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Cevahir Köprülü
Ufuk Topcu
231
3
0
25 May 2023
Proximal Curriculum for Reinforcement Learning Agents
Georgios Tzannetos
Bárbara Gomes Ribeiro
Parameswaran Kamalaruban
Adish Singla
230
13
0
25 Apr 2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Mikayel Samvelyan
Akbir Khan
Michael Dennis
Minqi Jiang
Jack Parker-Holder
Jakob N. Foerster
Roberta Raileanu
Tim Rocktaschel
311
36
0
06 Mar 2023
Learning to Learn: How to Continuously Teach Humans and Machines
IEEE International Conference on Computer Vision (ICCV), 2022
Parantak Singh
You Li
Ankur Sikarwar
Weixian Lei
Daniel Gao
Morgan B. Talbot
Ying Sun
Mike Zheng Shou
Gabriel Kreiman
Mengmi Zhang
CLL
277
7
0
28 Nov 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Neural Information Processing Systems (NeurIPS), 2022
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
247
32
0
18 Oct 2022
Balanced Self-Paced Learning for AUC Maximization
AAAI Conference on Artificial Intelligence (AAAI), 2022
Bin Gu
Chenkang Zhang
Huan Xiong
Heng-Chiao Huang
131
5
0
08 Jul 2022
Learning Progress Driven Multi-Agent Curriculum
Wenshuai Zhao
Zhiyuan Li
Joni Pajarinen
463
1
0
20 May 2022
Evolving Curricula with Regret-Based Environment Design
International Conference on Machine Learning (ICML), 2022
Jack Parker-Holder
Minqi Jiang
Michael Dennis
Mikayel Samvelyan
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
410
164
0
02 Mar 2022
Specializing Versatile Skill Libraries using Local Mixture of Experts
Onur Celik
Dongzhuoran Zhou
Gen Li
P. Becker
Gerhard Neumann
303
40
0
08 Dec 2021
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
VLM
DRL
192
40
0
08 Nov 2021
Robot Learning from Randomized Simulations: A Review
Frontiers in Robotics and AI (Front. Robot. AI), 2021
Fabio Muratore
Fabio Ramos
Greg Turk
Wenhao Yu
Michael Gienger
Jan Peters
AI4CE
322
111
0
01 Nov 2021
Hierarchies of Planning and Reinforcement Learning for Robot Navigation
IEEE International Conference on Robotics and Automation (ICRA), 2021
J. Wöhlke
Felix Schmitt
H. V. Hoof
155
31
0
23 Sep 2021
Multi-Task Reinforcement Learning with Context-based Representations
International Conference on Machine Learning (ICML), 2021
Shagun Sodhani
Amy Zhang
Joelle Pineau
368
227
0
11 Feb 2021
Curriculum Learning: A Survey
International Journal of Computer Vision (IJCV), 2021
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
Andrii Zadaianchuk
ODL
581
482
0
25 Jan 2021
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning
M. Lutter
Johannes Silberbauer
Joe Watson
Jan Peters
OffRL
218
42
0
03 Nov 2020
Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills
IEEE International Conference on Robotics and Automation (ICRA), 2020
Samuele Tosatto
Georgia Chalvatzaki
Jan Peters
212
13
0
26 Oct 2020
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
Conference on Robot Learning (CoRL), 2020
Kai Ploeger
M. Lutter
Jan Peters
343
32
0
26 Oct 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero
Roberta Raileanu
Heinrich Küttler
J. Tenenbaum
Tim Rocktaschel
Edward Grefenstette
282
134
0
22 Jun 2020
Self-Paced Deep Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Pascal Klink
Carlo DÉramo
Jan Peters
Joni Pajarinen
ODL
372
63
0
24 Apr 2020
Data-efficient Domain Randomization with Bayesian Optimization
IEEE Robotics and Automation Letters (RA-L), 2020
Fabio Muratore
C. Eilers
Michael Gienger
Jan Peters
OOD
454
91
0
05 Mar 2020
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning
Journal of Artificial Intelligence Research (JAIR), 2019
Raghunandan Rajan
Jessica Lizeth Borja Diaz
Suresh Guttikonda
Fabio Ferreira
André Biedenkapp
Jan Ole von Hartz
Katharina Eggensperger
366
6
0
17 Sep 2019
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