A Definition of Continual Reinforcement Learning

20 July 2023

Papers citing "A Definition of Continual Reinforcement Learning"

45 / 45 papers shown

Title
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes Ashok Arora Neetesh Kumar 17 0 0 16 May 2025
Plasticity as the Mirror of Empowerment David Abel Michael Bowling André Barreto Will Dabney Shi Dong ... Doina Precup Jonathan Richens Mark Rowland Tom Schaul Satinder Singh AI4CE 23 0 0 15 May 2025
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models Xiaobao Wu LRM 72 1 0 05 May 2025
Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning Mingqi Yuan Qi Wang Guozheng Ma Bo-wen Li Xin Jin Yunbo Wang Xiaokang Yang Wenjun Zeng D. Tao OffRL AI4CE 33 0 0 24 Apr 2025
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning Tien Pham Angelo Cangelosi 31 0 0 14 Apr 2025
Rethinking the Foundations for Continual Reinforcement Learning Michael Bowling Esraa Elelimy CLL OffRL LRM 37 2 0 10 Apr 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective Zhuoren Li Guizhe Jin Ran Yu Z. Chen Nan I. Li ... Lu Xiong Bo Leng Jia Hu I. Kolmanovsky Dimitar Filev 54 0 0 31 Mar 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
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration Chengqi Zheng Haiyan Yin Jianda Chen Terence Ng Yew-Soon Ong Ivor Tsang CLL 149 0 0 07 Mar 2025
Knowledge Retention for Continual Model-Based Reinforcement Learning Yixiang Sun Haotian Fu M. L. Littman George Konidaris OffRL CLL VLM 49 0 0 06 Mar 2025
SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks Yijie Guo Bingjie Tang Iretiayo Akinola Dieter Fox Abhishek Gupta Yashraj S. Narang 44 0 0 06 Mar 2025
Decision Making in Hybrid Environments: A Model Aggregation Approach Haolin Liu Chen-Yu Wei Julian Zimmert 86 0 0 09 Feb 2025
EvoAgent: Agent Autonomous Evolution with Continual World Model for Long-Horizon Tasks Tongtong Feng X. Wang Zekai Zhou Ren Wang Yuwei Zhan Guangyao Li Qing Li Wenwu Zhu LM&Ro 71 0 0 09 Feb 2025
Agency Is Frame-Dependent David Abel André Barreto Michael Bowling Will Dabney Shi Dong ... Doina Precup Jonathan Richens Mark Rowland Tom Schaul Satinder Singh 80 1 0 06 Feb 2025
Circular Microalgae-Based Carbon Control for Net Zero Federico Zocco Joan García W. Haddad 110 0 0 04 Feb 2025
Permutation Invariant Learning with High-Dimensional Particle Filters Akhilan Boopathy Aneesh Muppidi Peggy Yang Abhiram Iyer William Yue Ila R Fiete SSL 36 0 0 30 Oct 2024
Plastic Learning with Deep Fourier Features Alex Lewandowski Dale Schuurmans Marlos C. Machado CLL 42 3 0 27 Oct 2024
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
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach Henrique Donâncio Antoine Barrier Leah F. South Florence Forbes 23 0 0 16 Oct 2024
LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots Peilin Wu Weiji Xie Jiahang Cao Hang Lai Weinan Zhang 26 1 0 26 Sep 2024
Towards certifiable AI in aviation: landscape, challenges, and opportunities Hymalai Bello Daniel Geißler L. Ray Stefan Muller-Divéky Peter Muller Shannon Kittrell Mengxi Liu Bo Zhou Paul Lukowicz 27 1 0 13 Sep 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion Achref Jaziri Etienne Kunzel Visvanathan Ramesh CLL 53 0 0 19 Aug 2024
The Need for a Big World Simulator: A Scientific Challenge for Continual Learning Saurabh Kumar Hong Jun Jeon Alex Lewandowski Benjamin Van Roy 31 0 0 06 Aug 2024
Exploration Unbound Dilip Arumugam Wanqiao Xu Benjamin Van Roy 31 0 0 16 Jul 2024
Three Dogmas of Reinforcement Learning David Abel Mark K. Ho A. Harutyunyan 38 5 0 15 Jul 2024
Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang Vinzenz Thoma Zebang Shen H. Nax Niao He 43 2 0 14 Jul 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey Milan Ganai Sicun Gao Sylvia L. Herbert 40 6 0 12 Jul 2024
Periodic agent-state based Q-learning for POMDPs Amit Sinha Mathieu Geist Aditya Mahajan 28 0 0 08 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 37 1 0 30 Jun 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence Edward Hughes Michael Dennis Jack Parker-Holder Feryal M. P. Behbahani Aditi Mavalankar Yuge Shi Tom Schaul Tim Rocktaschel LRM 34 21 0 06 Jun 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning Aneesh Muppidi Zhiyu Zhang Heng Yang 34 4 0 26 May 2024
Automatic re-calibration of quantum devices by reinforcement learning T. Crosta L. Rebón F. Vilarino J. M. Matera M. Bilkis 28 0 0 16 Apr 2024
Continual Learning for Smart City: A Survey Li Yang Zhipeng Luo Shi-sheng Zhang Fei Teng Tian-Jie Li HAI 30 8 0 01 Apr 2024
Discounted Adaptive Online Learning: Towards Better Regularization Zhiyu Zhang David Bombara Heng Yang 18 8 0 05 Feb 2024
Agent Alignment in Evolving Social Norms Shimin Li Tianxiang Sun Qinyuan Cheng Xipeng Qiu LLMAG 28 7 0 09 Jan 2024
Agent based modelling for continuously varying supply chains Wan Wang Haiyan Wang A. J. Sobey CLL 22 1 0 24 Dec 2023
Prediction and Control in Continual Reinforcement Learning N. Anand Doina Precup OffRL CLL 27 11 0 18 Dec 2023
Continual Learning: Applications and the Road Forward Eli Verwimp Rahaf Aljundi Shai Ben-David Matthias Bethge Andrea Cossu ... J. Weijer Bing Liu Vincenzo Lomonaco Tinne Tuytelaars Gido M. van de Ven CLL 43 44 0 20 Nov 2023
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies Jonathan Colaco Carr Prakash Panangaden Doina Precup 26 2 0 03 Nov 2023
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents Olivier Sigaud Gianluca Baldassarre Cédric Colas Stéphane Doncieux Richard J. Duro Pierre-Yves Oudeyer Nicolas Perrin-Gilbert V. Santucci AI4CE 24 10 0 01 Nov 2023
Learning to Coordinate with Anyone Lei Yuan Lihe Li Ziqian Zhang F. Chen Tianyi Zhang Cong Guan Yang Yu Zhi-Hua Zhou LLMAG 28 4 0 22 Sep 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
Resetting the Optimizer in Deep RL: An Empirical Study Kavosh Asadi Rasool Fakoor Shoham Sabach ODL 16 23 0 30 Jun 2023
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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017