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Learning to reinforcement learn

Learning to reinforcement learn

17 November 2016
Jane X. Wang
Z. Kurth-Nelson
Dhruva Tirumala
Hubert Soyer
Joel Z Leibo
Rémi Munos
Charles Blundell
D. Kumaran
M. Botvinick
    OffRL
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Papers citing "Learning to reinforcement learn"

13 / 13 papers shown
Title
Co-Reinforcement Learning for Unified Multimodal Understanding and Generation
Co-Reinforcement Learning for Unified Multimodal Understanding and Generation
Jingjing Jiang
Chongjie Si
Jun Luo
Hanwang Zhang
Chao Ma
33
0
0
23 May 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Hang Su
Songming Liu
Dong Yan
Jun Zhu
88
3
0
17 Feb 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Donglin Zhan
Leonardo F. Toso
James Anderson
126
3
0
04 Feb 2025
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
Maxence Faldor
Robert Tjarko Lange
Antoine Cully
104
0
0
04 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Kaixi Bao
Chenhao Li
Yarden As
Andreas Krause
Marco Hutter
OffRL
CLL
149
1
0
03 Feb 2025
Reinforcement Teaching
Reinforcement Teaching
Alex Lewandowski
Calarina Muslimani
Dale Schuurmans
Matthew E. Taylor
Jun Luo
103
1
0
28 Jan 2025
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
Lucía Güitta-López
Jaime Boal
Álvaro J. López-López
61
5
0
24 Jan 2025
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Subhojyoti Mukherjee
Josiah P. Hanna
Qiaomin Xie
Robert Nowak
99
2
0
07 Jun 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Lanqing Li
Hai Zhang
Xinyu Zhang
Shatong Zhu
Junqiao Zhao
Junqiao Zhao
Pheng-Ann Heng
OffRL
61
8
0
04 Feb 2024
Agent Modelling under Partial Observability for Deep Reinforcement
  Learning
Agent Modelling under Partial Observability for Deep Reinforcement Learning
Georgios Papoudakis
Filippos Christianos
Stefano V. Albrecht
42
62
0
16 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model
  Identification and Experience Relabeling
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling
Russell Mendonca
Xinyang Geng
Chelsea Finn
Sergey Levine
OOD
OffRL
54
40
0
12 Jun 2020
Learning to reinforcement learn for Neural Architecture Search
Learning to reinforcement learn for Neural Architecture Search
J. Gomez
Joaquin Vanschoren
18
8
0
09 Nov 2019
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement
  Learning
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
Nat Dilokthanakul
Christos Kaplanis
Nick Pawlowski
Murray Shanahan
24
92
0
18 May 2017
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