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"

13 / 13 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 Hechang Chen Yi Chang Dacheng Tao Lichao Sun OffRL 57 0 0 21 Oct 2024
CHIRPs: Change-Induced Regret Proxy metrics for Lifelong Reinforcement Learning John Birkbeck Adam Sobey Federico Cerutti Katherine Heseltine Hurley Flynn Timothy J. Norman 33 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 40 3 0 18 Aug 2024
Hierarchical Continual Reinforcement Learning via Large Language Model Chaofan Pan Xin Yang Hao Wang Wei Wei Tianrui Li 55 2 0 25 Jan 2024
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies Michael Beukman Devon Jarvis Richard Klein Steven D. James Benjamin Rosman 31 11 0 25 Oct 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning Sam Powers Eliot Xing Abhinav Gupta KELM CLL 43 5 0 31 Dec 2022
Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya T. Doan Lucas Caccia Laure Soulier Ludovic Denoyer Roberta Raileanu CLL 42 29 0 18 Nov 2022
Disentangling Transfer in Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 81 27 0 28 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 44 9 0 18 Sep 2022
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 39 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 33 11 0 12 Jul 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 295 5,726 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 299 9,202 0 06 Jun 2015