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Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic
  Context Variables

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
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
M. Gerstgrasser
David C. Parkes
OffRL
26
19
0
19 Oct 2022
Causal Inference for De-biasing Motion Estimation from Robotic
  Observational Data
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data
Junhong Xu
Kai-Li Yin
Jason M. Gregory
Lantao Liu
CML
23
3
0
17 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks
Xiaowu Sun
Yasser Shoukry
48
11
0
11 Oct 2022
Self-Adaptive Driving in Nonstationary Environments through Conjectural
  Online Lookahead Adaptation
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
Distributionally Adaptive Meta Reinforcement Learning
Anurag Ajay
Abhishek Gupta
Dibya Ghosh
Sergey Levine
Pulkit Agrawal
OOD
29
14
0
06 Oct 2022
DMAP: a Distributed Morphological Attention Policy for Learning to
  Locomote with a Changing Body
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
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
Desik Rengarajan
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Connecting Context-specific Adaptation in Humans to Meta-learning
Rachit Dubey
Erin Grant
Michael Luo
Karthik R. Narasimhan
Thomas Griffiths
24
4
0
27 Nov 2020
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