Neural Network Projects with Python

Deep reinforcement learning

Reinforcement learning is a branch of machine learning that learns the best action to take in any given state to maximize future rewards. Reinforcement learning has been applied to games such as chess. In chess, the position of the pieces on the chessboard represents the state that we are in. The role of reinforcement learning in this case is to learn the best action to take (that is, the pieces to move) in any given state.

If we think of the best action to take in any arbitrary state being represented by a mathematical function (call it the action-value function), then we can use neural networks to learn this action-value function. Once the function has been learned, our neural network can be used to predict ...