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1803.01118
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Some Considerations on Learning to Explore via Meta-Reinforcement Learning
3 March 2018
Bradly C. Stadie
Ge Yang
Rein Houthooft
Xi Chen
Yan Duan
Yuhuai Wu
Pieter Abbeel
Ilya Sutskever
LRM
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Papers citing
"Some Considerations on Learning to Explore via Meta-Reinforcement Learning"
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Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
Yuxiao Qu
Matthew Y. R. Yang
Amrith Rajagopal Setlur
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Ruslan Salakhutdinov
Aviral Kumar
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410
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10 Mar 2025
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
Neural Information Processing Systems (NeurIPS), 2024
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Justin Sasek
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291
13
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17 Nov 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
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Siyuan Xu
Minghui Zhu
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220
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13 Oct 2024
Black box meta-learning intrinsic rewards for sparse-reward environments
Octavio Pappalardo
Rodrigo Ramele
Juan Miguel Santos
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282
1
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31 Jul 2024
Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents
Menglong Zhang
Fuyuan Qian
Quanying Liu
252
1
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18 Jun 2024
In-context Exploration-Exploitation for Reinforcement Learning
International Conference on Learning Representations (ICLR), 2024
Zhenwen Dai
Federico Tomasi
Sina Ghiassian
OffRL
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214
12
0
11 Mar 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
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Sergey Kolesnikov
440
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0
19 Dec 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
Jake Grigsby
Linxi Fan
Yuke Zhu
OffRL
LM&Ro
347
44
0
15 Oct 2023
First-Explore, then Exploit: Meta-Learning Intelligent Exploration
Neural Information Processing Systems (NeurIPS), 2023
Ben Norman
Jeff Clune
197
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05 Jul 2023
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Samer B. Nashed
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366
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28 Jun 2023
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation
Information Sciences (Inf. Sci.), 2023
Xinyuan Ji
Xu Zhang
Wei Xi
Haozhi Wang
Olga Gadyatskaya
Yinchuan Li
178
1
0
16 Jun 2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Mingyang Wang
Zhenshan Bing
Xiangtong Yao
Shuai Wang
Hang Su
Chenguang Yang
Kai Huang
Alois C. Knoll
SSL
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259
19
0
29 Apr 2023
Meta-Reinforcement Learning via Exploratory Task Clustering
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zhendong Chu
Hongning Wang
OffRL
183
9
0
15 Feb 2023
Human-Timescale Adaptation in an Open-Ended Task Space
International Conference on Machine Learning (ICML), 2023
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
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Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&Ro
OffRL
AI4CE
LRM
326
147
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18 Jan 2023
Reusable Options through Gradient-based Meta Learning
David Kuric
H. V. Hoof
258
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22 Dec 2022
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
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Sapana Chaudhary
JaeWon Kim
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S. Shakkottai
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191
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26 Sep 2022
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients
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Jacob Beck
Shimon Whiteson
Jakob N. Foerster
Gregory Farquhar
206
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22 Sep 2022
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies
Haozhi Wang
Qing Wang
Yunfeng Shao
Dong Li
Jianye Hao
Yinchuan Li
135
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21 Sep 2022
Meta Reinforcement Learning with Successor Feature Based Context
Xu Han
Feng Wu
OffRL
LRM
179
3
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29 Jul 2022
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yijie Guo
Qiucheng Wu
Honglak Lee
OffRL
256
8
0
19 Jul 2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
International Conference on Machine Learning (ICML), 2022
Haoqi Yuan
Zongqing Lu
SSL
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219
48
0
21 Jun 2022
Variational Meta Reinforcement Learning for Social Robotics
Anand Ballou
Xavier Alameda-Pineda
Chris Reinke
OffRL
289
15
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07 Jun 2022
CoMPS: Continual Meta Policy Search
Glen Berseth
Zhiwei Zhang
Grace Zhang
Chelsea Finn
Sergey Levine
CLL
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210
17
0
08 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer
Pieter Abbeel
Joseph E. Gonzalez
OffRL
180
22
0
02 Dec 2021
On the Practical Consistency of Meta-Reinforcement Learning Algorithms
Zheng Xiong
L. Zintgraf
Jacob Beck
Risto Vuorio
Shimon Whiteson
CLL
AIFin
175
11
0
01 Dec 2021
Context Meta-Reinforcement Learning via Neuromodulation
Neural Networks (NN), 2021
Eseoghene Ben-Iwhiwhu
Jeffery Dick
Nicholas A. Ketz
Praveen K. Pilly
Andrea Soltoggio
OffRL
497
14
0
30 Oct 2021
Behaviour-conditioned policies for cooperative reinforcement learning tasks
Antti Keurulainen
Isak Westerlund
Ariel Kwiatkowski
Samuel Kaski
Alexander Ilin
101
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04 Oct 2021
Hindsight Foresight Relabeling for Meta-Reinforcement Learning
Michael Wan
Jian-wei Peng
Tanmay Gangwani
193
7
0
18 Sep 2021
Bootstrapped Meta-Learning
International Conference on Learning Representations (ICLR), 2021
Sebastian Flennerhag
Yannick Schroecker
Tom Zahavy
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Satinder Singh
170
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09 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning
Susan Amin
Maziar Gomrokchi
Harsh Satija
H. V. Hoof
Doina Precup
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296
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01 Sep 2021
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Yunhao Tang
Tadashi Kozuno
Mark Rowland
Rémi Munos
Michal Valko
OffRL
225
9
0
24 Jun 2021
Least-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control
International Conference on Robot Intelligence Technology and Applications (RITA), 2021
Salar Asayesh
Mo Chen
M. Mehrandezh
Kamal Gupta
110
5
0
02 Jun 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Riccardo Poiani
Andrea Tirinzoni
Marcello Restelli
OffRL
173
11
0
18 May 2021
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning
Bernie Wang
Si-ting Xu
Kurt Keutzer
Yang Gao
Bichen Wu
SSL
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109
8
0
10 Mar 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents
Jane X. Wang
Michael King
Nicolas Porcel
Z. Kurth-Nelson
Tina Zhu
...
Neil C. Rabinowitz
Loic Matthey
Demis Hassabis
Alexander Lerchner
M. Botvinick
OffRL
303
39
0
04 Feb 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Journal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLL
OffRL
549
376
0
25 Dec 2020
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
L. Zintgraf
Leo Feng
Cong Lu
Maximilian Igl
Kristian Hartikainen
Katja Hofmann
Shimon Whiteson
350
43
0
02 Oct 2020
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
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Yuke Zhu
J. Leskovec
Anima Anandkumar
Animesh Garg
LRM
107
4
0
17 Aug 2020
Offline Meta Learning of Exploration
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Idan Shenfeld
Aviv Tamar
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234
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Deep Reinforcement Learning amidst Lifelong Non-Stationarity
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James Harrison
Chelsea Finn
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217
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MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
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Jianhao Wang
Hao Hu
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Yingfeng Chen
Changjie Fan
Chongjie Zhang
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196
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15 Jun 2020
A Brief Look at Generalization in Visual Meta-Reinforcement Learning
Safa Alver
Doina Precup
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193
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12 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling
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Chelsea Finn
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Meta-Model-Based Meta-Policy Optimization
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Takahisa Imagawa
Voot Tangkaratt
Takayuki Osa
Takashi Onishi
Yoshimasa Tsuruoka
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407
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A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
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VLM
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445
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Meta-Learning in Neural Networks: A Survey
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Meta-learning curiosity algorithms
International Conference on Learning Representations (ICLR), 2020
Ferran Alet
Martin Schneider
Tomas Lozano-Perez
L. Kaelbling
240
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11 Mar 2020
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