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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"
31 / 131 papers shown
Title
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
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
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
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
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
Amy Zhang
Shagun Sodhani
Khimya Khetarpal
Joelle Pineau
31
5
0
14 Jul 2020
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
Georgios Papoudakis
Filippos Christianos
Stefano V. Albrecht
24
61
0
16 Jun 2020
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
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
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
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
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
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
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
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
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
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
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
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
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
Jiachen Yang
Brenden K. Petersen
H. Zha
Daniel Faissol
OOD
OffRL
33
33
0
17 Oct 2019
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
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
Kelsey R. Allen
Kevin A. Smith
J. Tenenbaum
LRM
31
108
0
22 Jul 2019
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
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
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
54
106
0
12 Jun 2018
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
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
0
07 Jun 2018
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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