In 2012 I received my PhD in experimental condensed matter physics from West Virginia University. Following that I was a dry etch process engineer for Intel Corporation, where I leveraged big data to make essential process improvements for mission critical products. After leaving Intel in 2015, I have worked as a contract and freelance deep learning and artificial intelligence engineer.

Multi Agent Reinforcement Learning

Ready?

Multi Agent Reinforcement Learning

Course Introduction

Analyzing the Abstract and Introduction

Analyzing the Background Material

The Essence of the MADDPG Innovation

Getting Familiar with the Environments

What Results Can We Expect?

Writing our Network Classes

Writing our Memory Class

Writing the Agent Class

Writing the MADDPG Class

Testing our MADDPG vs. DDPG Agents

Course Introduction

Analyzing the Abstract and Introduction

Background Information

Analyzing the Results

Coding the Memory Class

Coding the MAPPO Class

Coding the Agent Class

Coding the Run File

About the teacher

phil