Same State, Different Task: Continual Reinforcement Learning without
Interference

Same State, Different Task: Continual Reinforcement Learning without Interference

5 June 2021

Jack Parker-Holder

Stephen J. Roberts

Papers citing "Same State, Different Task: Continual Reinforcement Learning without Interference"

11 / 11 papers shown

Title
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces Jifeng Hu Sili Huang Li Shen Zhejian Yang Shengchao Hu Shisong Tang H. Chen Yi-Ju Chang Dacheng Tao Lichao Sun OffRL 36 0 0 21 Oct 2024
CHIRPs: Change-Induced Regret Proxy metrics for Lifelong Reinforcement Learning John Birkbeck A. J. Sobey Federico Cerutti Katherine Heseltine Hurley Flynn Timothy J. Norman 17 0 0 05 Sep 2024
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams B. Halstead Yun Sing Koh Patricia J. Riddle Mykola Pechenizkiy Albert Bifet TTA AI4TS 24 3 0 18 Aug 2024
Hierarchical Continual Reinforcement Learning via Large Language Model Chaofan Pan Xin Yang Hao Wang Wei Wei Tianrui Li 25 2 0 25 Jan 2024
Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya T. Doan Lucas Caccia Laure Soulier Ludovic Denoyer Roberta Raileanu CLL 29 29 0 18 Nov 2022
Disentangling Transfer in Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 65 27 0 28 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 24 9 0 18 Sep 2022
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 26 1 0 17 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning C. Steinparz Thomas Schmied Fabian Paischer Marius-Constantin Dinu Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter CLL 24 11 0 12 Jul 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015