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Continual Reinforcement Learning with Multi-Timescale Replay

Continual Reinforcement Learning with Multi-Timescale Replay

16 April 2020
Christos Kaplanis
Claudia Clopath
Murray Shanahan
    CLL
ArXiv (abs)PDFHTML

Papers citing "Continual Reinforcement Learning with Multi-Timescale Replay"

10 / 10 papers shown
Uncertainty Prioritized Experience Replay
Uncertainty Prioritized Experience Replay
Rodrigo Carrasco-Davis
Sebastian Lee
Claudia Clopath
Will Dabney
305
2
0
10 Jun 2025
LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots
LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged RobotsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Peilin Wu
Weiji Xie
Jiahang Cao
H. Lai
Weinan Zhang
427
5
0
26 Sep 2024
Prediction and Control in Continual Reinforcement Learning
Prediction and Control in Continual Reinforcement Learning
N. Anand
Doina Precup
OffRLCLL
262
20
0
18 Dec 2023
Using Curiosity for an Even Representation of Tasks in Continual Offline
  Reinforcement Learning
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement LearningCognitive Computation (Cogn. Comput.), 2023
Pathmanathan Pankayaraj
Natalia Díaz Rodríguez
Javier Del Ser
CLLOffRL
356
0
0
05 Dec 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
956
1,280
0
31 Jan 2023
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and
  Overcoming Challenges
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges
Massimo Caccia
Jonas W. Mueller
Taesup Kim
Laurent Charlin
Rasool Fakoor
CLL
340
10
0
28 May 2022
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
422
58
0
01 Oct 2021
Sequoia: A Software Framework to Unify Continual Learning Research
Sequoia: A Software Framework to Unify Continual Learning Research
Fabrice Normandin
Florian Golemo
O. Ostapenko
Pau Rodríguez López
Matthew D Riemer
...
Dominic Zhao
Timothée Lesort
Laurent Charlin
Irina Rish
Massimo Caccia
CLL
542
22
0
02 Aug 2021
Sequence Adaptation via Reinforcement Learning in Recommender Systems
Sequence Adaptation via Reinforcement Learning in Recommender SystemsACM Conference on Recommender Systems (RecSys), 2021
Stefanos Antaris
Dimitrios Rafailidis
144
9
0
31 Jul 2021
Model-Agnostic Learning to Meta-Learn
Model-Agnostic Learning to Meta-Learn
A. Devos
Yatin Dandi
OOD
342
3
0
04 Dec 2020
1
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