Block Contextual MDPs for Continual Learning

Block Contextual MDPs for Continual Learning

13 October 2021

Franziska Meier

Papers citing "Block Contextual MDPs for Continual Learning"

19 / 19 papers shown

Title
Zero-shot Generalization in Inventory Management: Train, then Estimate and Decide Tarkan Temizoz Christina Imdahl R. Dijkman Douniel Lamghari-Idrissi W. Jaarsveld 37 1 0 01 Nov 2024
Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning Tidiane Camaret Ndir André Biedenkapp Noor H. Awad OffRL 48 1 0 15 Apr 2024
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization Sai Prasanna Karim Farid Raghu Rajan André Biedenkapp 55 2 0 16 Mar 2024
Sample Complexity Characterization for Linear Contextual MDPs Junze Deng Yuan Cheng Shaofeng Zou Yingbin Liang 30 1 0 05 Feb 2024
Provably Efficient CVaR RL in Low-rank MDPs Yulai Zhao Wenhao Zhan Xiaoyan Hu Ho-fung Leung Farzan Farnia Wen Sun Jason D. Lee 29 4 0 20 Nov 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies Michael Beukman Devon Jarvis Richard Klein Steven D. James Benjamin Rosman 26 10 0 25 Oct 2023
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation Wanpeng Zhang Yilin Li Boyu Yang Zongqing Lu CML 18 0 0 05 Jun 2023
Provable Reward-Agnostic Preference-Based Reinforcement Learning Wenhao Zhan Masatoshi Uehara Wen Sun Jason D. Lee 27 8 0 29 May 2023
Multi-agent Continual Coordination via Progressive Task Contextualization Lei Yuan Lihe Li Ziqian Zhang Fuxiang Zhang Cong Guan Yang Yu CLL 39 7 0 07 May 2023
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context Xiaoyu Chen Xiangming Zhu Yufeng Zheng Pushi Zhang Li Zhao ... Peng Cheng Y. Xiong Tao Qin Jianyu Chen Tie-Yan Liu OffRL 16 11 0 24 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 29 29 0 18 Nov 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 38 26 0 10 Oct 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Erdun Gao Kun Zhang Sara Magliacane CML OffRL 45 32 0 30 Mar 2022
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach Xuezhou Zhang Yuda Song Masatoshi Uehara Mengdi Wang Alekh Agarwal Wen Sun OffRL 29 57 0 31 Jan 2022
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 17 157 0 18 Nov 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 49 310 0 25 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,700 0 09 Mar 2017
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 127 577 0 27 Feb 2015