Towards Continual Reinforcement Learning: A Review and Perspectives

25 December 2020

Papers citing "Towards Continual Reinforcement Learning: A Review and Perspectives"

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Title
Action Flow Matching for Continual Robot Learning Alejandro Murillo-Gonzalez Lantao Liu CLL 35 0 0 25 Apr 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 102 0 0 27 Mar 2025
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters Ruiqi Zhu Endong Sun Guanhe Huang Oya Celiktutan CLL OnRL 59 0 0 24 Mar 2025
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning Kun Wu Yinuo Zhao Z. Xu Zhengping Che Chengxiang Yin C. Liu Qinru Qiu Feiferi Feng OffRL 95 1 0 22 Dec 2024
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning Anthony Kobanda Rémy Portelas Odalric-Ambrym Maillard Ludovic Denoyer OffRL CLL 77 0 0 19 Dec 2024
A Unified Framework for Neural Computation and Learning Over Time S. Melacci Alessandro Betti Michele Casoni Tommaso Guidi Matteo Tiezzi Marco Gori AI4TS 28 0 0 18 Sep 2024
Simplex-enabled Safe Continual Learning Machine H. Cao Y. Mao Yihao Cai L. Sha Marco Caccamo 26 3 0 05 Sep 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion Achref Jaziri Etienne Kunzel Visvanathan Ramesh CLL 45 0 0 19 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Biwei Huang Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 36 1 0 30 Jul 2024
Graceful task adaptation with a bi-hemispheric RL agent Grant Nicholas L. Kuhlmann Gideon Kowadlo 27 0 0 16 Jul 2024
Three Dogmas of Reinforcement Learning David Abel Mark K. Ho A. Harutyunyan 31 5 0 15 Jul 2024
Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang Vinzenz Thoma Zebang Shen H. Nax Niao He 29 2 0 14 Jul 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey Milan Ganai Sicun Gao Sylvia L. Herbert 32 6 0 12 Jul 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 34 2 0 18 May 2024
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation Cengis Hasan Alexandros Agapitos David Lynch Alberto Castagna Giorgio Cruciata Hao Wang Aleksandar Milenovic 36 0 0 30 Apr 2024
Hierarchical Continual Reinforcement Learning via Large Language Model Chaofan Pan Xin Yang Hao Wang Wei Wei Tianrui Li 20 2 0 25 Jan 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 48 121 0 17 Jan 2024
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning Pathmanathan Pankayaraj Natalia Díaz Rodríguez Javier Del Ser CLL OffRL 19 0 0 05 Dec 2023
Towards Continual Reinforcement Learning for Quadruped Robots G. Minelli V. Vassiliades CLL 12 1 0 12 Nov 2023
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents Sungwoo Lee Younghyun Oh Hyunhoe An Hyebhin Yoon K. Friston Seok Jun Hong Choong-Wan Woo AI4CE 13 1 0 12 Sep 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse Siyuan Li Haoyang Li Jin Zhang Zhen Wang Peng Liu Chongjie Zhang OffRL 13 1 0 14 Aug 2023
A Definition of Continual Reinforcement Learning David Abel André Barreto Benjamin Van Roy Doina Precup H. V. Hasselt Satinder Singh CLL 15 70 0 20 Jul 2023
Continual Learning as Computationally Constrained Reinforcement Learning Saurabh Kumar Henrik Marklund Anand Srinivasa Rao Yifan Zhu Hong Jun Jeon Yueyang Liu Benjamin Van Roy CLL 22 22 0 10 Jul 2023
Improving Language Plasticity via Pretraining with Active Forgetting Yihong Chen Kelly Marchisio Roberta Raileanu David Ifeoluwa Adelani Pontus Stenetorp Sebastian Riedel Mikel Artetx KELM AI4CE CLL 23 23 0 03 Jul 2023
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence Erik C. Johnson Brian S. Robinson Gautam K. Vallabha Justin Joyce Jordan K. Matelsky ... Matthew J. Roos I-J. Wang Brock Andrew Wester William R. Gray Roncal J. Hoffmann 27 1 0 26 May 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 53 7 0 24 Apr 2023
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 8 4 0 26 Mar 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 40 0 0 04 Feb 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 14 18 0 26 Jan 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments Yash Chandak Shiv Shankar Nathaniel D. Bastian Bruno Castro da Silva Emma Brunskil Philip S. Thomas OffRL 16 6 0 24 Jan 2023
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games Indranil Sur Z. Daniels Abrar Rahman Kamil Faber Gianmarco J. Gallardo ... Roberto Corizzo Ajay Divakaran M. Piacentino Jesse Hostetler Aswin Raghavan CLL OffRL 23 4 0 08 Dec 2022
Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya T. Doan Lucas Page-Caccia Laure Soulier Ludovic Denoyer Roberta Raileanu CLL 21 29 0 18 Nov 2022
Augmentative Topology Agents For Open-Ended Learning Muhammad Umair Nasir Michael Beukman Steven D. James C. Cleghorn 22 3 0 20 Oct 2022
Disentangling Transfer in Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 60 27 0 28 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks Xianqi Zhang Xingtao Wang Xu Liu Wenrui Wang Xiaopeng Fan Debin Zhao OffRL 80 0 0 09 Sep 2022
Continual Reinforcement Learning with TELLA Neil Fendley Cash Costello Eric Q. Nguyen Gino Perrotta Corey Lowman CLL 6 2 0 08 Aug 2022
Modular Lifelong Reinforcement Learning via Neural Composition Jorge Armando Mendez Mendez H. V. Seijen Eric Eaton OffRL KELM CLL 70 38 0 01 Jul 2022
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data Wenxuan Zhou Steven Bohez Jan Humplik A. Abdolmaleki Dushyant Rao Markus Wulfmeier Tuomas Haarnoja N. Heess OffRL 24 6 0 12 Apr 2022
Demystifying Reinforcement Learning in Time-Varying Systems Pouya Hamadanian Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh 25 1 0 14 Jan 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 28 72 0 11 Jan 2022
Continual Learning In Environments With Polynomial Mixing Times Matthew D Riemer Sharath Chandra Raparthy Ignacio Cases G. Subbaraj M. P. Touzel Irina Rish CLL 24 8 0 13 Dec 2021
Flexible Option Learning Martin Klissarov Doina Precup OffRL 34 26 0 06 Dec 2021
Successor Feature Representations Chris Reinke Xavier Alameda-Pineda 14 5 0 29 Oct 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 116 95 0 06 Oct 2021
Discovering State and Action Abstractions for Generalized Task and Motion Planning Aidan Curtis Tom Silver J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 33 27 0 23 Sep 2021
Context-Specific Representation Abstraction for Deep Option Learning Marwa Abdulhai Dong-Ki Kim Matthew D Riemer Miao Liu Gerald Tesauro Jonathan P. How OffRL 17 9 0 20 Sep 2021
Universal Off-Policy Evaluation Yash Chandak S. Niekum Bruno C. da Silva Erik Learned-Miller Emma Brunskill Philip S. Thomas OffRL ELM 27 52 0 26 Apr 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 54 0 01 Mar 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor Andrew C. Li Rodrigo Toro Icarte Sheila A. McIlraith OffRL AI4CE 31 73 0 13 Feb 2021
Efficient Learning in Non-Stationary Linear Markov Decision Processes Ahmed Touati Pascal Vincent 32 29 0 24 Oct 2020