Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation

1 September 2021

Bin Liang

Papers citing "Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation"

3 / 3 papers shown

Title
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
Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments Guanlin Meng 28 1 0 16 Oct 2023
Matching DNN Compression and Cooperative Training with Resources and Data Availability F. Malandrino G. Giacomo Armin Karamzade Marco Levorato C. Chiasserini 45 9 0 02 Dec 2022