PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning

14 January 2020

Papers citing "PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning"

6 / 6 papers shown

Title
Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu J. Obando-Ceron Aaron C. Courville L. Pan 34 3 0 10 Oct 2024
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models Heng Lu Mehdi Alemi Reza Rawassizadeh 34 1 0 05 Jul 2024
Rate-Constrained Remote Contextual Bandits Francesco Pase Deniz Gündüz M. Zorzi 14 8 0 26 Apr 2022
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks Yoel Bokobza R. Dabora Kobi Cohen 17 13 0 24 Oct 2021
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning Juhyoung Lee Sangyeob Kim Sangjin Kim Wooyoung Jo H. Yoo OffRL 19 9 0 24 Jan 2021
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017