Reinforcement-learning-with-tensorflow: Simple Reinforcement … This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise. Learning Tensorforce is built on top of Google’s TensorFlow framework and requires Python 3. Guide to Reinforcement Learning with Python and TensorFlow In previous posts ( here and here ), deep Q reinforcement learning was introduced. The Mountain Car maximum x values from the TensorFlow reinforcement learning example As can be observed above, while there is some volatility, the network learns that the best rewards are achieved by reaching the top of the right-hand hill and, towards the end of the training, consistently controls the car/agent to reach there. The 5-step life-cycle of tf.keras models and how to use the sequential and functional APIs. Reinforcement Learning Play a board game against an agent, which is trained using reinforcement learning and deployed with TensorFlow Lite. Improve this question . Google Colab