Keras Reinforcement Learning Projects
Keras Reinforcement Learning Projects:
9 projects exploring popular reinforcement learning techniques to build self-learning agents
by Giuseppe Ciaburro
English | 2018 | ISBN: 1789342090 | 290 Pages | PDF True | 28 MB
The book begins with getting you up and running with the concepts of reinforcement learning using Keras. You’ll learn how to simulate a random walk using Markov chains and select the best portfolio using dynamic programming (DP) and Python. You’ll also explore projects such as forecasting stock prices using Monte Carlo methods, delivering vehicle routing application using Temporal Distance (TD) learning algorithms, and balancing a Rotating Mechanical System using Markov decision processes.