Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning

31 March 2024

Papers citing "Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning"

8 / 8 papers shown

Title
Generalization in Monitored Markov Decision Processes (Mon-MDPs) Montaser Mohammedalamen Michael Bowling 21 0 0 13 May 2025
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 39 0 0 21 Oct 2024
Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu J. Obando-Ceron Rameswar Panda L. Pan 42 3 0 10 Oct 2024
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL Ghada Sokar J. Obando-Ceron Rameswar Panda Hugo Larochelle Pablo Samuel Castro MoE 145 2 0 02 Oct 2024
Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers Yan Wang Gautham Vasan A. R. Mahmood 42 15 0 05 Oct 2022
Continual evaluation for lifelong learning: Identifying the stability gap Matthias De Lange Gido M. van de Ven Tinne Tuytelaars CLL 111 41 0 26 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 29 7 0 22 May 2022
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 30 73 0 23 Sep 2021