Deep Reinforcement Learning With TensorFlow 2.1 | Roman Ring

Deep Reinforcement Learning With TensorFlow 2.1 | Roman Ring

Deep Reinforcement Learning With TensorFlow 2.1 | Roman Ring

In this tutorial, I will give an overview of the TensorFlow 2.x features through the lens of deep reinforcement learning (DRL) by implementing an advantage actor-critic (A2C) agent, solving the classic CartPole-v0 environment. While the goal is to showcase TensorFlow 2.x, I will do my best to make DRL approachable as well, including a birds-eye overview of the field.

Source: inoryy.com/post/tensorflow2-deep-reinforcement-learning/