Disentangling Transfer in Continual Reinforcement Learning

28 September 2022

Papers citing "Disentangling Transfer in Continual Reinforcement Learning"

20 / 20 papers shown

Title
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning Tien Pham Angelo Cangelosi 28 0 0 14 Apr 2025
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning Jiahua Lan Sen Zhang Haixia Pan Ruijun Liu Li Shen Dacheng Tao CLL 28 0 0 09 Apr 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
Continual Task Learning through Adaptive Policy Self-Composition Shengchao Hu Yuhang Zhou Ziqing Fan Jifeng Hu Li Shen Ya-Qin Zhang Dacheng Tao OffRL 69 0 0 18 Nov 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
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay Jinmei Liu Wenbin Li Xiangyu Yue Shilin Zhang Chunlin Chen Zhi Wang OffRL DiffM 36 5 0 16 Apr 2024
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning Hongjoon Ahn Jinu Hyeon Youngmin Oh Bosun Hwang Taesup Moon CLL OnRL 29 2 0 08 Mar 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem Maciej Wolczyk Bartłomiej Cupiał M. Ostaszewski Michal Bortkiewicz Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 48 13 0 05 Feb 2024
Hierarchical Continual Reinforcement Learning via Large Language Model Chaofan Pan Xin Yang Hao Wang Wei Wei Tianrui Li 25 2 0 25 Jan 2024
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
Replay-enhanced Continual Reinforcement Learning Tiantian Zhang Kevin Zehua Shen Zichuan Lin Bo Yuan Xueqian Wang Xiu Li Deheng Ye CLL OffRL 38 6 0 20 Nov 2023
Learning to Modulate pre-trained Models in RL Thomas Schmied M. Hofmarcher Fabian Paischer Razvan Pascanu Sepp Hochreiter CLL OffRL 24 14 0 26 Jun 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning Bo Liu Yifeng Zhu Chongkai Gao Yihao Feng Qian Liu Yuke Zhu Peter Stone CLL 35 115 0 05 Jun 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting Yijun Yang Tianyi Zhou Jing Jiang Guodong Long Yuhui Shi CLL OffRL 36 9 0 29 May 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 24 1 0 28 May 2023
OER: Offline Experience Replay for Continual Offline Reinforcement Learning Sibo Gai Donglin Wang Li He CLL OffRL 37 3 0 23 May 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 38 601 0 31 Jan 2023
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia Jonas W. Mueller Taesup Kim Laurent Charlin Rasool Fakoor CLL 32 8 0 28 May 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 137 95 0 28 Jan 2022
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 2019