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Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
v1v2 (latest)

Online Meta-Critic Learning for Off-Policy Actor-Critic Methods

Neural Information Processing Systems (NeurIPS), 2020
11 March 2020
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Online Meta-Critic Learning for Off-Policy Actor-Critic Methods"

22 / 22 papers shown
Meta-reinforcement learning with minimum attention
Meta-reinforcement learning with minimum attention
Pilhwa Lee
Shashank Gupta
OffRL
374
0
0
22 May 2025
Eau De $Q$-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning
Eau De QQQ-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning
Théo Vincent
Tim Lukas Faust
Yogesh Tripathi
Jan Peters
Carlo DÉramo
338
0
0
03 Mar 2025
Black Box Meta-Learning Intrinsic Rewards
Black Box Meta-Learning Intrinsic Rewards
Octavio Pappalardo
Rodrigo Ramele
Juan Miguel Santos
OffRL
332
1
0
31 Jul 2024
Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially
  Observable Environments
Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially Observable Environments
Ainur Zhaikhan
Ali H. Sayed
OffRL
278
1
0
06 Jul 2024
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual LearningInternational Conference on Learning Representations (ICLR), 2022
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
520
39
0
18 Nov 2022
Meta-Reinforcement Learning for Building Energy Management System
Meta-Reinforcement Learning for Building Energy Management System
Huiliang Zhang
Di Wu
Benoit Boulet
Benoit Boulet
326
9
0
23 Oct 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating
  Gradient Methods
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient MethodsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Davoud Ataee Tarzanagh
Parvin Nazari
Bojian Hou
Li Shen
Laura Balzano
669
15
0
06 Jul 2022
Beyond backpropagation: bilevel optimization through implicit
  differentiation and equilibrium propagation
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagationNeural Computation (Neural Comput.), 2022
Nicolas Zucchet
João Sacramento
421
34
0
06 May 2022
Model Based Meta Learning of Critics for Policy Gradients
Model Based Meta Learning of Critics for Policy Gradients
Sarah Bechtle
Ludovic Righetti
Franziska Meier
OffRL
127
0
0
05 Apr 2022
MetaCon: Unified Predictive Segments System with Trillion Concept
  Meta-Learning
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning
Keqian Li
Yifan Hu
Logan Palanisamy
Lisa Jones
A. Gupta
J. E. Grigsby
Ili Selinger
Matt Gillingham
Fei Tan
205
1
0
09 Mar 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement
  Learning
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021
Xidong Feng
Bo Liu
Jie Ren
Luo Mai
Rui Zhu
Haifeng Zhang
Jun Wang
Yaodong Yang
326
13
0
31 Dec 2021
Automatic tuning of hyper-parameters of reinforcement learning
  algorithms using Bayesian optimization with behavioral cloning
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning
Juan Cruz Barsce
J. Palombarini
Ernesto C. Martínez
OffRL
195
3
0
15 Dec 2021
Sharing to learn and learning to share; Fitting together Meta-Learning,
  Multi-Task Learning, and Transfer Learning: A meta review
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
CLL
583
5
0
23 Nov 2021
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient
  Reinforcement Learning
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning
Matthew Macfarlane
Paul Caron
Thomas D. Barrett
Ian Davies
Alexandre Laterre
200
6
0
30 Oct 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
OffRLOnRL
235
3
0
19 Aug 2021
Neural Auto-Curricula
Neural Auto-Curricula
Xidong Feng
Oliver Slumbers
Bo Liu
Bo Liu
Alexander Shmakov
Ying Wen
Jun Wang
Yaodong Yang
292
4
0
04 Jun 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent
  Reinforcement Learning
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
Jianzhun Shao
Hongchang Zhang
Yuhang Jiang
Shuncheng He
Xiangyang Ji
263
5
0
24 Feb 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and PerspectivesJournal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
668
401
0
25 Dec 2020
Performance-Weighed Policy Sampling for Meta-Reinforcement Learning
Performance-Weighed Policy Sampling for Meta-Reinforcement Learning
Ibrahim Ahmed
Marcos Quiñones-Grueiro
G. Biswas
172
3
0
10 Dec 2020
Effective Regularization Through Loss-Function Metalearning
Effective Regularization Through Loss-Function MetalearningIEEE Congress on Evolutionary Computation (CEC), 2020
Santiago Gonzalez
Xin Qiu
Risto Miikkulainen
628
5
0
02 Oct 2020
Discovering Reinforcement Learning Algorithms
Discovering Reinforcement Learning AlgorithmsNeural Information Processing Systems (NeurIPS), 2020
Junhyuk Oh
Matteo Hessel
Wojciech M. Czarnecki
Zhongwen Xu
H. V. Hasselt
Satinder Singh
David Silver
455
132
0
17 Jul 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
944
2,546
0
11 Apr 2020
1
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