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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"

31 / 131 papers shown
Title
MELD: Meta-Reinforcement Learning from Images via Latent State Models
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
32
36
0
26 Oct 2020
What About Inputing Policy in Value Function: Policy Representation and
  Policy-extended Value Function Approximator
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator
Hongyao Tang
Zhaopeng Meng
Jianye Hao
Chong Chen
D. Graves
...
Hangyu Mao
Wulong Liu
Yaodong Yang
Wenyuan Tao
Li Wang
OffRL
14
7
0
19 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance
  Metric Learning and Behavior Regularization
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
Lanqing Li
Rui Yang
Dijun Luo
OffRL
27
10
0
02 Oct 2020
Towards Effective Context for Meta-Reinforcement Learning: an Approach
  based on Contrastive Learning
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
Haotian Fu
Hongyao Tang
Jianye Hao
Chong Chen
Xidong Feng
Dong Li
Wulong Liu
OffRL
35
51
0
29 Sep 2020
Offline Meta-Reinforcement Learning with Advantage Weighting
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
38
104
0
13 Aug 2020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
Amy Zhang
Shagun Sodhani
Khimya Khetarpal
Joelle Pineau
31
5
0
14 Jul 2020
Learning Invariant Representations for Reinforcement Learning without
  Reconstruction
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OOD
SSL
42
462
0
18 Jun 2020
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
24
61
0
16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning
Model-based Adversarial Meta-Reinforcement Learning
Zichuan Lin
G. Thomas
Guangwen Yang
Tengyu Ma
OOD
27
52
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
32
41
0
12 Jun 2020
Context-aware Dynamics Model for Generalization in Model-Based
  Reinforcement Learning
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee
Younggyo Seo
Seunghyun Lee
Honglak Lee
Jinwoo Shin
43
124
0
14 May 2020
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Eseoghene Ben-Iwhiwhu
Pawel Ladosz
Jeffery Dick
Wen‐Hua Chen
Praveen K. Pilly
Andrea Soltoggio
35
9
0
27 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
64
1,935
0
11 Apr 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A
  Survey
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang
Jianrui Wang
Gary G. Yen
Chaoqiang Zhao
Qiyu Sun
Yang Tang
Feng Qian
Jürgen Kurths
AAML
31
20
0
29 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
OffRL
30
46
0
11 Mar 2020
SQUIRL: Robust and Efficient Learning from Video Demonstration of
  Long-Horizon Robotic Manipulation Tasks
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
Bohan Wu
Feng Xu
Zhanpeng He
Abhi Gupta
Peter K. Allen
OffRL
13
13
0
10 Mar 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
Xingyou Song
Yuxiang Yang
K. Choromanski
Ken Caluwaerts
Wenbo Gao
Chelsea Finn
Jie Tan
112
79
0
02 Mar 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy
  Improvement
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Benjamin Eysenbach
Xinyang Geng
Sergey Levine
Ruslan Salakhutdinov
OffRL
18
86
0
25 Feb 2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement
  Learning with Clairvoyant Experts
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts
Gilwoo Lee
Brian Hou
Sanjiban Choudhury
S. Srinivasa
BDL
OffRL
31
7
0
07 Feb 2020
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
65
1,126
0
24 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
L. Zintgraf
K. Shiarlis
Maximilian Igl
Sebastian Schulze
Y. Gal
Katja Hofmann
Shimon Whiteson
OffRL
6
272
0
18 Oct 2019
Single Episode Policy Transfer in Reinforcement Learning
Single Episode Policy Transfer in Reinforcement Learning
Jiachen Yang
Brenden K. Petersen
H. Zha
Daniel Faissol
OOD
OffRL
33
33
0
17 Oct 2019
Meta-Q-Learning
Meta-Q-Learning
Rasool Fakoor
Pratik Chaudhari
Stefano Soatto
Alex Smola
OffRL
25
145
0
30 Sep 2019
Learning Fast Adaptation with Meta Strategy Optimization
Learning Fast Adaptation with Meta Strategy Optimization
Wenhao Yu
Jie Tan
Yunfei Bai
Erwin Coumans
Sehoon Ha
28
93
0
28 Sep 2019
Rapid trial-and-error learning with simulation supports flexible tool
  use and physical reasoning
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Kelsey R. Allen
Kevin A. Smith
J. Tenenbaum
LRM
31
108
0
22 Jul 2019
Towards Finding Longer Proofs
Towards Finding Longer Proofs
Zsolt Zombori
Adrián Csiszárik
Henryk Michalewski
C. Kaliszyk
Josef Urban
OffRL
LRM
29
15
0
30 May 2019
Meta reinforcement learning as task inference
Meta reinforcement learning as task inference
Jan Humplik
Alexandre Galashov
Leonard Hasenclever
Pedro A. Ortega
Yee Whye Teh
N. Heess
OffRL
31
127
0
15 May 2019
Unsupervised Meta-Learning for Reinforcement Learning
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
54
106
0
12 Jun 2018
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
205
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
0
07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
365
11,700
0
09 Mar 2017
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