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1706.09529
Cited By
Learning to Learn: Meta-Critic Networks for Sample Efficient Learning
29 June 2017
Flood Sung
Li Zhang
Tao Xiang
Timothy M. Hospedales
Yongxin Yang
OffRL
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Papers citing
"Learning to Learn: Meta-Critic Networks for Sample Efficient Learning"
50 / 61 papers shown
Adaptive Policy Backbone via Shared Network
Bumgeun Park
Donghwan Lee
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184
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Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
International Conference on Learning Representations (ICLR), 2025
Junxuan Zhang
Flood Sung
Zhiyong Yang
Yang Gao
Chongjie Zhang
LLMAG
345
3
0
28 Apr 2025
Human-Inspired Framework to Accelerate Reinforcement Learning
Journal of Supercomputing (JS), 2023
Ali Beikmohammadi
Sindri Magnússon
OffRL
301
4
0
28 Feb 2023
Implicit Training of Energy Model for Structure Prediction
Shiv Shankar
Vihari Piratla
196
0
0
21 Nov 2022
Simple Emergent Action Representations from Multi-Task Policy Training
International Conference on Learning Representations (ICLR), 2022
Pu Hua
Yubei Chen
Huazhe Xu
MLAU
193
7
0
18 Oct 2022
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yijie Guo
Qiucheng Wu
Honglak Lee
OffRL
256
8
0
19 Jul 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Mandi Zhao
Pieter Abbeel
Stephen James
OffRL
368
38
0
07 Jun 2022
Model Based Meta Learning of Critics for Policy Gradients
Sarah Bechtle
Ludovic Righetti
Franziska Meier
OffRL
88
0
0
05 Apr 2022
CoMPS: Continual Meta Policy Search
Glen Berseth
Zhiwei Zhang
Grace Zhang
Chelsea Finn
Sergey Levine
CLL
OffRL
210
17
0
08 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer
Pieter Abbeel
Joseph E. Gonzalez
OffRL
179
22
0
02 Dec 2021
Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling
Yaxiong Yuan
Lei Lei
T. Vu
Zheng Chang
Symeon Chatzinotas
Sumei Sun
249
42
0
13 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning
IEEE International Conference on Computer Vision (ICCV), 2021
Sungyong Baik
Janghoon Choi
Heewon Kim
Dohee Cho
Jaesik Min
Kyoung Mu Lee
191
129
0
08 Oct 2021
Meta-learning PINN loss functions
Apostolos F. Psaros
Kenji Kawaguchi
George Karniadakis
PINN
185
128
0
12 Jul 2021
Meta-Reinforcement Learning for Heuristic Planning
Ricardo Luna Gutierrez
Matteo Leonetti
OffRL
AIFin
140
4
0
06 Jul 2021
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
International Conference on Machine Learning (ICML), 2021
Shai Keynan
Elad Sarafian
Sarit Kraus
OffRL
213
35
0
12 Jun 2021
Least-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control
International Conference on Robot Intelligence Technology and Applications (RITA), 2021
Salar Asayesh
Mo Chen
M. Mehrandezh
Kamal Gupta
110
5
0
02 Jun 2021
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning
IEEE International Symposium on Biomedical Imaging (ISBI), 2021
Anthony Sicilia
Xingchen Zhao
D. Minhas
Erin O'Connor
H. Aizenstein
W. Klunk
D. Tudorascu
Seong Jae Hwang
111
6
0
25 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes
IEEE Robotics and Automation Letters (RA-L), 2021
Zhangjie Cao
Minae Kwon
Dorsa Sadigh
143
20
0
10 Feb 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Journal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLL
OffRL
549
376
0
25 Dec 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Ricardo Luna Gutierrez
Matteo Leonetti
210
19
0
02 Nov 2020
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition
ACM Multimedia (ACM MM), 2020
Yuqian Fu
Li Zhang
Junke Wang
Yanwei Fu
Yu-Gang Jiang
171
114
0
20 Oct 2020
Effective Regularization Through Loss-Function Metalearning
IEEE Congress on Evolutionary Computation (CEC), 2020
Santiago Gonzalez
Xin Qiu
Risto Miikkulainen
516
0
0
02 Oct 2020
Learning from Few Samples: A Survey
Nihar Bendre
Hugo Terashima-Marín
Peyman Najafirad
VLM
BDL
241
60
0
30 Jul 2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yikai Wang
Li Zhang
Xingtai Lv
Yanwei Fu
305
54
0
15 Jul 2020
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification
Yucan Zhou
Yu Wang
Jianfei Cai
Yu Zhou
Q. Hu
Weiping Wang
VLM
171
12
0
13 Jul 2020
Meta-Learning with Network Pruning
Hongduan Tian
Bo Liu
Xiaotong Yuan
Qingshan Liu
135
31
0
07 Jul 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling
Russell Mendonca
Xinyang Geng
Chelsea Finn
Sergey Levine
OOD
OffRL
268
40
0
12 Jun 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
753
2,389
0
11 Apr 2020
Instance Credibility Inference for Few-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2020
Yikai Wang
C. Xu
Chen Liu
Li Zhang
Yanwei Fu
185
183
0
26 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
163
52
0
11 Mar 2020
From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)
Xin Ye
Yezhou Yang
SSL
313
16
0
26 Feb 2020
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem
Knowledge Discovery and Data Mining (KDD), 2020
Yun Hua
Xiangfeng Wang
Bo Jin
Wenhao Li
Junchi Yan
Xiaofeng He
H. Zha
OffRL
211
9
0
11 Feb 2020
Graph Inference Learning for Semi-supervised Classification
International Conference on Learning Representations (ICLR), 2020
Chunyan Xu
Zhen Cui
Xiaobin Hong
Tong Zhang
Zhiqiang Wang
Wei Liu
139
32
0
17 Jan 2020
Unsupervised Curricula for Visual Meta-Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2019
Allan Jabri
Kyle Hsu
Benjamin Eysenbach
Abhishek Gupta
Sergey Levine
Chelsea Finn
VLM
OOD
SSL
OffRL
164
66
0
09 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa
O. Afanasjeva
Simon Andersson
Joseph Davidson
N. Guttenberg
Petr Hlubucek
Martin Poliak
Jaroslav Vítků
Jan Feyereisl
190
10
0
03 Dec 2019
VIABLE: Fast Adaptation via Backpropagating Learned Loss
Leo Feng
L. Zintgraf
Bei Peng
Shimon Whiteson
120
1
0
29 Nov 2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
Neural Information Processing Systems (NeurIPS), 2019
Maximilian Igl
K. Ciosek
Yingzhen Li
Sebastian Tschiatschek
Cheng Zhang
Sam Devlin
Katja Hofmann
OffRL
200
188
0
28 Oct 2019
Bottom-Up Meta-Policy Search
Luckeciano C. Melo
Marcos R. O. A. Máximo
A. Cunha
124
6
0
22 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
International Conference on Learning Representations (ICLR), 2019
L. Zintgraf
K. Shiarlis
Maximilian Igl
Sebastian Schulze
Y. Gal
Katja Hofmann
Shimon Whiteson
OffRL
321
304
0
18 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
International Conference on Learning Representations (ICLR), 2019
Louis Kirsch
Sjoerd van Steenkiste
Jürgen Schmidhuber
OffRL
268
127
0
09 Oct 2019
Subjectivity Learning Theory towards Artificial General Intelligence
Xin Su
Shangqi Guo
Feng Chen
AI4CE
136
2
0
09 Sep 2019
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Web Search and Data Mining (WSDM), 2019
Xianfeng Tang
Yandong Li
Yiwei Sun
Huaxiu Yao
P. Mitra
Suhang Wang
OOD
AAML
414
192
0
20 Aug 2019
Meta-Learning via Learned Loss
International Conference on Pattern Recognition (ICPR), 2019
Sarah Bechtle
Artem Molchanov
Yevgen Chebotar
Edward Grefenstette
Ludovic Righetti
Gaurav Sukhatme
Franziska Meier
306
119
0
12 Jun 2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
International Conference on Learning Representations (ICLR), 2019
Allan Zhou
Eric Jang
Daniel Kappler
Alexander Herzog
Mohi Khansari
Paul Wohlhart
Yunfei Bai
Mrinal Kalakrishnan
Sergey Levine
Chelsea Finn
343
52
0
07 Jun 2019
Learning to learn via Self-Critique
Antreas Antoniou
Amos Storkey
SSL
286
17
0
24 May 2019
Guided Meta-Policy Search
Russell Mendonca
Abhishek Gupta
Rosen Kralev
Pieter Abbeel
Sergey Levine
Chelsea Finn
141
60
0
01 Apr 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
International Conference on Machine Learning (ICML), 2019
Kate Rakelly
Aurick Zhou
Deirdre Quillen
Chelsea Finn
Sergey Levine
OffRL
235
742
0
19 Mar 2019
NoRML: No-Reward Meta Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Yuxiang Yang
Ken Caluwaerts
Atil Iscen
Jie Tan
Chelsea Finn
151
28
0
04 Mar 2019
Feature-Critic Networks for Heterogeneous Domain Generalization
International Conference on Machine Learning (ICML), 2019
Yiying Li
Yongxin Yang
Wei Zhou
Timothy M. Hospedales
OOD
418
277
0
31 Jan 2019
Guiding Policies with Language via Meta-Learning
International Conference on Learning Representations (ICLR), 2018
John D. Co-Reyes
Abhishek Gupta
Suvansh Sanjeev
Nick Altieri
Jacob Andreas
John DeNero
Pieter Abbeel
Sergey Levine
LM&Ro
178
67
0
19 Nov 2018
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