The figure below is a learned result from 01/04/2015 to 01/04/2016. Le reinforcement learning permettra de mimer au mieux le comportement humain en augmentant par la même occasion la sécurité de sa conduite. Guide to Reinforcement Learning with Python and TensorFlow Simple Reinforcement Learning with Tensorflow Part 0: Q-Learning with Tables and Neural Networks We’ll be learning how to solve the OpenAI FrozenLake environment. Deep Reinforcement Learning: Playing CartPole through The second value controls the left and right engines. Part 2 - Policy Based Reinforcement Learning with Keras. Play a board game against an agent, which is trained using reinforcement learning and deployed with TensorFlow Lite. The whole RL logic of TensorForce is implemented using TensorFlow to enable deployment of TensorFlow-based models and employing portable computation graphs without requiring application programming language. The modular design of the library has been made as easy as possible to apply and configure for general applications. You can see different values of Q matrix as the agent moves from one state to the other. Guide To TensorForce: A TensorFlow-based Reinforcement … Player 1 flips a coin, and gets a point if it's heads.