Deep Learning with R Cookbook

Getting ready

In this recipe, we will use the ReinforcementLearning package, which performs model-free RL.

Let's import the ReinforcementLearning package:

library(ReinforcementLearning)

In this recipe, we will work on the same navigation example that we used in the previous section, Model-based RL using MDPtoolbox. In this case, we won't have any predetermined input data, and we will solve the problem using a model-free approach. The agent will interact dynamically with an environment representing the problem and generate state-action transition tuples. The structure of the environment is specific to the problem at hand. An environment is typically a stochastic finite state machine that represents the rules of operating in any specific problem. ...