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Self-Paced Contextual Reinforcement Learning

Self-Paced Contextual Reinforcement Learning

7 October 2019
Pascal Klink
Hany Abdulsamad
Boris Belousov
Jan Peters
ArXivPDFHTML

Papers citing "Self-Paced Contextual Reinforcement Learning"

14 / 14 papers shown
Title
On Bits and Bandits: Quantifying the Regret-Information Trade-off
On Bits and Bandits: Quantifying the Regret-Information Trade-off
Itai Shufaro
Nadav Merlis
Nir Weinberger
Shie Mannor
38
0
0
26 May 2024
Self-Paced Absolute Learning Progress as a Regularized Approach to
  Curriculum Learning
Self-Paced Absolute Learning Progress as a Regularized Approach to Curriculum Learning
Tobias Niehues
Ulla Scheler
Pascal Klink
24
0
0
09 Jun 2023
Reward-Machine-Guided, Self-Paced Reinforcement Learning
Reward-Machine-Guided, Self-Paced Reinforcement Learning
Cevahir Köprülü
Ufuk Topcu
23
3
0
25 May 2023
Proximal Curriculum for Reinforcement Learning Agents
Proximal Curriculum for Reinforcement Learning Agents
Georgios Tzannetos
Bárbara Gomes Ribeiro
Parameswaran Kamalaruban
Adish Singla
32
5
0
25 Apr 2023
Learning to Learn: How to Continuously Teach Humans and Machines
Learning to Learn: How to Continuously Teach Humans and Machines
Parantak Singh
You Li
Ankur Sikarwar
Weixian Lei
Daniel Gao
Morgan B. Talbot
Ying Sun
Mike Zheng Shou
Gabriel Kreiman
Mengmi Zhang
CLL
18
5
0
28 Nov 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
41
24
0
18 Oct 2022
Evolving Curricula with Regret-Based Environment Design
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder
Minqi Jiang
Michael Dennis
Mikayel Samvelyan
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
31
117
0
02 Mar 2022
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
VLM
DRL
26
32
0
08 Nov 2021
Multi-Task Reinforcement Learning with Context-based Representations
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani
Amy Zhang
Joelle Pineau
32
182
0
11 Feb 2021
Differentiable Physics Models for Real-world Offline Model-based
  Reinforcement Learning
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning
M. Lutter
Johannes Silberbauer
Joe Watson
Jan Peters
OffRL
29
33
0
03 Nov 2020
Contextual Latent-Movements Off-Policy Optimization for Robotic
  Manipulation Skills
Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills
Samuele Tosatto
Georgia Chalvatzaki
Jan Peters
23
12
0
26 Oct 2020
High Acceleration Reinforcement Learning for Real-World Juggling with
  Binary Rewards
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
Kai Ploeger
M. Lutter
Jan Peters
22
29
0
26 Oct 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero
Roberta Raileanu
Heinrich Küttler
J. Tenenbaum
Tim Rocktaschel
Edward Grefenstette
38
125
0
22 Jun 2020
Self-Paced Deep Reinforcement Learning
Self-Paced Deep Reinforcement Learning
Pascal Klink
Carlo DÉramo
Jan Peters
Joni Pajarinen
ODL
38
54
0
24 Apr 2020
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