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1903.08254
Cited By
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
19 March 2019
Kate Rakelly
Aurick Zhou
Deirdre Quillen
Chelsea Finn
Sergey Levine
OffRL
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Papers citing
"Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables"
50 / 140 papers shown
Title
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
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Causal Inference for De-biasing Motion Estimation from Robotic Observational Data
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Kai-Li Yin
Jason M. Gregory
Lantao Liu
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23
3
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17 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks
Xiaowu Sun
Yasser Shoukry
48
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11 Oct 2022
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
Tao Li
Haozhe Lei
Quanyan Zhu
26
11
0
06 Oct 2022
Distributionally Adaptive Meta Reinforcement Learning
Anurag Ajay
Abhishek Gupta
Dibya Ghosh
Sergey Levine
Pulkit Agrawal
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29
14
0
06 Oct 2022
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
A. Chiappa
Alessandro Marin Vargas
Alexander Mathis
34
7
0
28 Sep 2022
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
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Sapana Chaudhary
JaeWon Kim
D. Kalathil
S. Shakkottai
OffRL
29
2
0
26 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
36
0
0
21 Sep 2022
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
Daniel G. McClement
Nathan P. Lawrence
M. Forbes
Philip D. Loewen
Johan U. Backstrom
R. Bhushan Gopaluni
OffRL
19
1
0
19 Sep 2022
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis
Tao Li
Haozhe Lei
Quanyan Zhu
AAML
31
7
0
29 Jul 2022
Meta Reinforcement Learning with Successor Feature Based Context
Xu Han
Feng Wu
OffRL
LRM
40
3
0
29 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Homer Walke
Jonathan Yang
Albert Yu
Aviral Kumar
Jedrzej Orbik
Avi Singh
Sergey Levine
OffRL
OnRL
29
32
0
11 Jul 2022
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach
Zohar Rimon
Aviv Tamar
Gilad Adler
OOD
OffRL
34
8
0
21 Jun 2022
Transformers are Meta-Reinforcement Learners
Luckeciano C. Melo
OffRL
41
50
0
14 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
Cong Lu
Philip J. Ball
Tim G. J. Rudner
Jack Parker-Holder
Michael A. Osborne
Yee Whye Teh
OffRL
32
52
0
09 Jun 2022
Meta-Learning Parameterized Skills
Haotian Fu
Shangqun Yu
Saket Tiwari
Michael Littman
George Konidaris
38
6
0
07 Jun 2022
Diverse Imitation Learning via Self-Organizing Generative Models
Arash Vahabpour
Tianyi Wang
Qiujing Lu
Omead Brandon Pooladzandi
V. Roychowdhury
SSL
26
1
0
06 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
Chenyu Sun
Hangwei Qian
Chunyan Miao
OffRL
32
12
0
02 May 2022
Robust Meta-Reinforcement Learning with Curriculum-Based Task Sampling
Morio Matsumoto
Hiroya Matsuba
Toshihiro Kujirai
16
2
0
31 Mar 2022
Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline Approach
Daniel G. McClement
Nathan P. Lawrence
Johan U. Backstrom
Philip D. Loewen
M. Forbes
R. Bhushan Gopaluni
OffRL
21
22
0
17 Mar 2022
Context is Everything: Implicit Identification for Dynamics Adaptation
Ben Evans
Abitha Thankaraj
Lerrel Pinto
47
20
0
10 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
38
19
0
09 Mar 2022
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization
Pamul Yadav
Ashutosh Mishra
Junyong Lee
Shiho Kim
OffRL
AI4CE
21
10
0
17 Feb 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition
Dylan Slack
Yinlam Chow
Bo Dai
Nevan Wichers
OffRL
35
7
0
10 Feb 2022
Model-Based Offline Meta-Reinforcement Learning with Regularization
Sen Lin
Jialin Wan
Tengyu Xu
Yingbin Liang
Junshan Zhang
OffRL
31
17
0
07 Feb 2022
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning
S. Chen
Jensen Gao
S. Reddy
Glen Berseth
Anca Dragan
Sergey Levine
OffRL
36
11
0
05 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module
Wei-Cheng Tseng
Wei Wei
Da-Cheng Juan
Min Sun
36
2
0
14 Dec 2021
CoMPS: Continual Meta Policy Search
Glen Berseth
Zhiwei Zhang
Grace Zhang
Chelsea Finn
Sergey Levine
CLL
OffRL
28
16
0
08 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer
Pieter Abbeel
Joseph E. Gonzalez
OffRL
23
18
0
02 Dec 2021
Neural Stochastic Dual Dynamic Programming
H. Dai
Yuan Xue
Zia Syed
Dale Schuurmans
Bo Dai
24
14
0
01 Dec 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
Simone Parisi
Victoria Dean
Deepak Pathak
Abhinav Gupta
LM&Ro
40
50
0
25 Nov 2021
Visual Goal-Directed Meta-Learning with Contextual Planning Networks
Corban G. Rivera
D. Handelman
39
0
0
18 Nov 2021
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning
Wenlong Huang
Igor Mordatch
Pieter Abbeel
Deepak Pathak
43
63
0
04 Nov 2021
Context Meta-Reinforcement Learning via Neuromodulation
Eseoghene Ben-Iwhiwhu
Jeffery Dick
Nicholas A. Ketz
Praveen K. Pilly
Andrea Soltoggio
OffRL
45
12
0
30 Oct 2021
Block Contextual MDPs for Continual Learning
Shagun Sodhani
Franziska Meier
Joelle Pineau
Amy Zhang
CLL
41
25
0
13 Oct 2021
Influencing Towards Stable Multi-Agent Interactions
Woodrow Z. Wang
Andy Shih
Annie Xie
Dorsa Sadigh
38
34
0
05 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
41
23
0
05 Oct 2021
Hindsight Foresight Relabeling for Meta-Reinforcement Learning
Michael Wan
Jian-wei Peng
Tanmay Gangwani
34
7
0
18 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning
Susan Amin
Maziar Gomrokchi
Harsh Satija
H. V. Hoof
Doina Precup
OffRL
32
80
0
01 Sep 2021
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization
Lu Wen
Songan Zhang
H. E. Tseng
Baljeet Singh
Dimitar Filev
H. Peng
OffRL
OnRL
27
1
0
19 Aug 2021
Active Reinforcement Learning over MDPs
Qi Yang
Peng Yang
K. Tang
41
0
0
05 Aug 2021
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
Boshen Niu
Chenxi Wang
Changliu Liu
29
4
0
04 Aug 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr H. Pong
Ashvin Nair
Laura M. Smith
Catherine Huang
Sergey Levine
OffRL
32
66
0
08 Jul 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
47
271
0
16 Apr 2021
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
Thanh Nguyen
Tung M. Luu
T. Pham
Sanzhar Rakhimkul
Chang D. Yoo
22
10
0
15 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
16
517
0
04 Feb 2021
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
Liwen Zhu
Peixi Peng
Zongqing Lu
Xiangqian Wang
Yonghong Tian
15
20
0
04 Jan 2021
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Chaochao Lu
Erdun Gao
Ke Wang
José Miguel Hernández-Lobato
Kun Zhang
Bernhard Schölkopf
CML
OOD
OffRL
26
56
0
16 Dec 2020
Connecting Context-specific Adaptation in Humans to Meta-learning
Rachit Dubey
Erin Grant
Michael Luo
Karthik R. Narasimhan
Thomas Griffiths
24
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0
27 Nov 2020
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