2 papers
cs.LG2024
Neural Network Compression for Reinforcement Learning Tasks
Dmitry A. Ivanov, Denis A. Larionov, Oleg V. Maslennikov +1
In real applications of Reinforcement Learning (RL), such as robotics, low latency and energy efficient inference is very desired. The use of sparsity and pruning for optimizing Ne…
cs.CE2016
Research and Education in Computational Science and Engineering
Ulrich Rüde, Karen Willcox, Lois Curfman McInnes +30
Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance…