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 Hechang Chen Yi Chang Dacheng Tao Lichao Sun OffRL 41 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