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1802.07245
Cited By
Meta-Reinforcement Learning of Structured Exploration Strategies
20 February 2018
Abhishek Gupta
Russell Mendonca
YuXuan Liu
Pieter Abbeel
Sergey Levine
OffRL
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Papers citing
"Meta-Reinforcement Learning of Structured Exploration Strategies"
50 / 206 papers shown
DACBench: A Benchmark Library for Dynamic Algorithm Configuration
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Theresa Eimer
André Biedenkapp
Maximilian V Reimer
Steven Adriaensen
Katharina Eggensperger
Marius Lindauer
197
35
0
18 May 2021
A Meta Reinforcement Learning-based Approach for Self-Adaptive System
International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2021
Mingyue Zhang
Jialong Li
Haiyan Zhao
Kenji Tei
S. Honiden
Zhi Jin
104
6
0
11 May 2021
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics
Yuan Pu
Shaochen Wang
Xin Yao
Bin Li
92
1
0
07 May 2021
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning
International Conference on Intelligent Transportation Systems (ITSC), 2021
Songan Zhang
Lu Wen
H. Peng
H. E. Tseng
77
11
0
18 Apr 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
322
310
0
16 Apr 2021
Towards Enabling Meta-Learning from Target Models
Neural Information Processing Systems (NeurIPS), 2021
Su Lu
Han-Jia Ye
Le Gan
De-Chuan Zhan
CLL
124
6
0
08 Apr 2021
Population-Based Evolution Optimizes a Meta-Learning Objective
Kevin Frans
Olaf Witkowski
210
6
0
11 Mar 2021
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou
Hoang Ngan Le
Khoa Luu
Hien V Nguyen
N. Ayache
LM&MA
OffRL
MedIm
151
166
0
05 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
253
45
0
05 Mar 2021
Meta-Learning Dynamics Forecasting Using Task Inference
Neural Information Processing Systems (NeurIPS), 2021
Rui Wang
Robin Walters
Rose Yu
OOD
AI4TS
AI4CE
454
46
0
20 Feb 2021
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models
International Conference on Machine Learning (ICML), 2021
Q. Wang
H. V. Hoof
OffRL
140
23
0
16 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes
IEEE Robotics and Automation Letters (RA-L), 2021
Zhangjie Cao
Minae Kwon
Dorsa Sadigh
142
20
0
10 Feb 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
302
39
0
04 Feb 2021
Linear Representation Meta-Reinforcement Learning for Instant Adaptation
Matt Peng
Banghua Zhu
Jiantao Jiao
153
10
0
12 Jan 2021
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Liwen Zhu
Peixi Peng
Zongqing Lu
Xiangqian Wang
Yonghong Tian
369
25
0
04 Jan 2021
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
International Conference on Machine Learning (ICML), 2020
Susan Amin
Maziar Gomrokchi
Hossein Aboutalebi
Harsh Satija
Doina Precup
165
17
0
26 Dec 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer
Engineering applications of artificial intelligence (EAAI), 2020
Zohreh Raziei
Mohsen Moghaddam
133
28
0
27 Nov 2020
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2020
Jung-Su Ha
Young-Jin Park
Hyeok-Joo Chae
Soon-Seo Park
Han-Lim Choi
237
3
0
16 Nov 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Ricardo Luna Gutierrez
Matteo Leonetti
206
19
0
02 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Neural Information Processing Systems (NeurIPS), 2020
Saurabh Kumar
Aviral Kumar
Sergey Levine
Chelsea Finn
OffRL
188
105
0
27 Oct 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Conference on Robot Learning (CoRL), 2020
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
250
36
0
26 Oct 2020
Few-shot model-based adaptation in noisy conditions
IEEE Robotics and Automation Letters (RA-L), 2020
Karol Arndt
Ali Ghadirzadeh
Murtaza Hazara
Ville Kyrki
144
9
0
16 Oct 2020
A Survey of Deep Meta-Learning
Mike Huisman
Jan N. van Rijn
Aske Plaat
399
376
0
07 Oct 2020
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning
IEEE Conference on Decision and Control (CDC), 2020
Honghao Wei
Lei Ying
110
9
0
04 Oct 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
349
43
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
143
55
0
29 Sep 2020
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning
International Conference on Information and Knowledge Management (CIKM), 2020
Chang-rui Liu
Huichu Zhang
Weinan Zhang
Guanjie Zheng
Yong Yu
86
51
0
17 Sep 2020
Energy-based Surprise Minimization for Multi-Agent Value Factorization
Karush Suri
Xiaolong Shi
Konstantinos Plataniotis
Y. Lawryshyn
128
1
0
16 Sep 2020
Importance Weighted Policy Learning and Adaptation
Alexandre Galashov
Jakub Sygnowski
Guillaume Desjardins
Jan Humplik
Leonard Hasenclever
Rae Jeong
Yee Whye Teh
N. Heess
OffRL
212
1
0
10 Sep 2020
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning
International Conference on Pattern Recognition (ICPR), 2020
Eric Benhamou
David Saltiel
Jean-Jacques Ohana
Jamal Atif
228
23
0
07 Sep 2020
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles
Fei Ye
Pin Wang
Ching-yao Chan
Jiucai Zhang
108
25
0
28 Aug 2020
DMRO:A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing
Guanjin Qu
Huaming Wu
OffRL
149
230
0
23 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
360
115
0
13 Aug 2020
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices
International Conference on Machine Learning (ICML), 2020
Emmy Liu
Aditi Raghunathan
Abigail Z. Jacobs
Chelsea Finn
OffRL
552
74
0
06 Aug 2020
Offline Meta Learning of Exploration
Ron Dorfman
Idan Shenfeld
Aviv Tamar
OffRL
234
20
0
06 Aug 2020
IntelligentPooling: Practical Thompson Sampling for mHealth
Machine-mediated learning (ML), 2020
Sabina Tomkins
Peng Liao
P. Klasnja
Susan Murphy
235
38
0
31 Jul 2020
Hypersolvers: Toward Fast Continuous-Depth Models
Neural Information Processing Systems (NeurIPS), 2020
Michael Poli
Stefano Massaroli
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
BDL
AI4CE
271
50
0
19 Jul 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Neural Information Processing Systems (NeurIPS), 2020
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
179
42
0
14 Jul 2020
On the Global Optimality of Model-Agnostic Meta-Learning
International Conference on Machine Learning (ICML), 2020
Lingxiao Wang
Qi Cai
Zhuoran Yang
Zhaoran Wang
190
46
0
23 Jun 2020
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
Jin Zhang
Jianhao Wang
Hao Hu
Tong Chen
Yingfeng Chen
Changjie Fan
Chongjie Zhang
OffRL
196
30
0
15 Jun 2020
A Brief Look at Generalization in Visual Meta-Reinforcement Learning
Safa Alver
Doina Precup
OffRL
192
8
0
12 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
264
40
0
12 Jun 2020
Meta-Model-Based Meta-Policy Optimization
Asian Conference on Machine Learning (ACML), 2020
Takuya Hiraoka
Takahisa Imagawa
Voot Tangkaratt
Takayuki Osa
Takashi Onishi
Yoshimasa Tsuruoka
OffRL
391
9
0
04 Jun 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
Sindhu Padakandla
177
196
0
19 May 2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization
Pierre-Alexandre Kamienny
Matteo Pirotta
A. Lazaric
Thibault Lavril
Nicolas Usunier
Ludovic Denoyer
235
19
0
06 May 2020
Regularizing Meta-Learning via Gradient Dropout
Asian Conference on Computer Vision (ACCV), 2020
Hung-Yu Tseng
Yi-Wen Chen
Yi-Hsuan Tsai
Sifei Liu
Yen-Yu Lin
Ming-Hsuan Yang
137
39
0
13 Apr 2020
Meta-Learning in Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
725
2,376
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
343
21
0
29 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Neural Information Processing Systems (NeurIPS), 2020
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
OffRL
158
52
0
11 Mar 2020
Meta-learning curiosity algorithms
International Conference on Learning Representations (ICLR), 2020
Ferran Alet
Martin Schneider
Tomas Lozano-Perez
L. Kaelbling
233
67
0
11 Mar 2020
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