FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism

24 February 2021

Papers citing "FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism"

4 / 4 papers shown

Title
HEPPO: Hardware-Efficient Proximal Policy Optimization -- A Universal Pipelined Architecture for Generalized Advantage Estimation Hazem Taha Ameer M. S. Abdelhadi 64 1 0 22 Jan 2025
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models Heng Lu Mehdi Alemi Reza Rawassizadeh 95 1 0 05 Jul 2024
Number Systems for Deep Neural Network Architectures: A Survey Ghada Alsuhli Vasileios Sakellariou H. Saleh Mahmoud Al-Qutayri Baker Mohammad T. Stouraitis 56 3 0 11 Jul 2023
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning Jenny Yang Jaeuk Kim Joo-Young Kim 47 2 0 29 Oct 2022