Towards Continual Reinforcement Learning: A Review and Perspectives

25 December 2020

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

50 / 72 papers shown

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 107 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 61 0 0 24 Mar 2025
Revisiting Rogers' Paradox in the Context of Human-AI Interaction K. M. Collins Umang Bhatt Ilia Sucholutsky 46 1 0 16 Jan 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 100 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 33 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 38 1 0 30 Jul 2024
Graceful task adaptation with a bi-hemispheric RL agent Grant Nicholas L. Kuhlmann Gideon Kowadlo 32 0 0 16 Jul 2024
Three Dogmas of Reinforcement Learning David Abel Mark K. Ho A. Harutyunyan 36 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 36 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 41 0 0 30 Apr 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics Xinyu Zhang Wenjie Qiu Yi-Chen Li Lei Yuan Chengxing Jia Zongzhang Zhang Yang Yu OffRL 28 1 0 17 Feb 2024
Hierarchical Continual Reinforcement Learning via Large Language Model Chaofan Pan Xin Yang Hao Wang Wei Wei Tianrui Li 22 2 0 25 Jan 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 53 122 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 30 0 0 05 Dec 2023
Towards Continual Reinforcement Learning for Quadruped Robots G. Minelli V. Vassiliades CLL 28 1 0 12 Nov 2023
Confronting Reward Model Overoptimization with Constrained RLHF Ted Moskovitz Aaditya K. Singh DJ Strouse T. Sandholm Ruslan Salakhutdinov Anca D. Dragan Stephen Marcus McAleer 34 47 0 06 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner Qingfeng Lan A. R. Mahmood CLL 40 9 0 02 Oct 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 26 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 22 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 20 71 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 27 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 28 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 32 1 0 26 May 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 55 7 0 24 Apr 2023
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 19 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 42 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 34 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 28 4 0 08 Dec 2022
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 52 14 0 08 Dec 2022
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format Qi Zhu Christian Geishauser Hsien-Chin Lin Carel van Niekerk Baolin Peng ... Dazhen Wan Xiaochen Zhu Jianfeng Gao Milica Gavsić Minlie Huang 46 23 0 30 Nov 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 29 29 0 18 Nov 2022
Augmentative Topology Agents For Open-Ended Learning Muhammad Umair Nasir Michael Beukman Steven D. James C. Cleghorn 27 3 0 20 Oct 2022
CUP: Critic-Guided Policy Reuse Jin Zhang Siyuan Li Chongjie Zhang 18 8 0 15 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 85 0 0 09 Sep 2022
Continual Reinforcement Learning with TELLA Neil Fendley Cash Costello Eric Q. Nguyen Gino Perrotta Corey Lowman CLL 19 2 0 08 Aug 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 26 27 0 15 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 21 11 0 12 Jul 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 32 6 0 12 Apr 2022
Demystifying Reinforcement Learning in Time-Varying Systems Pouya Hamadanian Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh 35 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 73 0 11 Jan 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 30 26 0 17 Dec 2021