Implementing Deep Reinforcement Learning Models with Tensorflow + OpenAI Gym

📰 Lilian Weng's Blog

Implementing deep reinforcement learning models using Tensorflow and OpenAI Gym

intermediate Published 5 May 2018

Action Steps

Choose a deep reinforcement learning algorithm to implement
Set up the OpenAI Gym environment for simulation
Implement the model using Tensorflow
Train and test the model
Evaluate and refine the model's performance

Who Needs to Know This

Machine learning engineers and researchers can benefit from this implementation to develop and test their own reinforcement learning models, while software engineers can learn how to integrate these models into larger systems.

Key Insight

💡 Deep reinforcement learning models can be effectively implemented using Tensorflow and OpenAI Gym for simulation and training