Samuel Wiggins

Characterizing Speed Performance of Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning (MARL) has achieved significant success in large-scale AI systems and big-data applications such as smart grids, surveillance, etc. Existing advancements in MARL...

Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms

Accelerating Multi-agent Reinforcement Learning on Heterogeneous Platforms

FAME: A Framework for Accelerating Independent Multi-Agent Reinforcement Learning on Heterogeneous Platforms

A Heterogeneous Acceleration System for Attention-Based Multi-Agent Reinforcement Learning

ARC: A Runtime Engine for Accelerating Independent Multi-Agent Reinforcement Learning on Multi-Core Processors

Accelerating Multi-Agent DDPG Training on Multi-GPU Platforms

Accelerating Multi-Agent DDPG on CPU-FPGA Heterogeneous Platform