Deep Multi-Agent Reinforcement Learning with TensorFlow-Agents

Ryan Sander
Analytics Vidhya
Published in
5 min readJan 2, 2021

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Recent advances in TensorFlow and reinforcement learning environments, such as those available through OpenAI Gym and the DeepMind Control Suite, have allowed for rapid prototyping, experimentation, and deployment of reinforcement learning applications across many domains.

TensorFlow-Agents, a TensorFlow-2-based reinforcement learning framework, is a high-level API for training and evaluating a multitude of reinforcement learning policies and agents. It enables fast code iteration, with good test integration and…

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Ryan Sander
Analytics Vidhya

Image Scientist, MIT CSAIL Alum, Tutor, Dark Roast Coffee Fan, GitHub: https://github.com/rmsander/