April 2018
Intermediate to advanced
334 pages
10h 18m
English
Here we will discuss how reinforcement learning algorithms can be implemented to solve the real-time strategy gaming problem. Let's recall the basic components of reinforcement learning again, they are are follows:
If these components are perceived and processed by the sensors present on the learning agent while receiving signals from the given gaming environment, then a reinforcement learning algorithm can be successfully applied. The signals perceived by the sensors can be processed to form the current environment state, predict the action as per the state information, and receive feedback, that is, reward ...