Implementing Deep Reinforcement Learning Models with Tensorflow + OpenAI Gym
The author provides a tutorial on implementing deep reinforcement learning models using TensorFlow and OpenAI Gym. The tutorial builds on previous posts that introduced various algorithms, now providing hands-on experience with implementation. The full code is available in the repository lilian/deep-reinforcement-learning-gym.
The author provides a tutorial on implementing deep reinforcement learning models using TensorFlow and OpenAI Gym. The tutorial builds on previous posts that introduced various algorithms, now providing hands-on experience with implementation. The full code is available in the repository lilian/deep-reinforcement-learning-gym.
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Why it matters: This matters to researchers and engineers working with AI because it provides a practical guide to implementing deep reinforcement learning models, which can be challenging due to their complexity.
Source: https://lilianweng.github.io/posts/2018-05-05-drl-implementation/
This article was originally published at: https://lilianweng.github.io/posts/2018-05-05-drl-implementation/