Build your own reinforcement learning within AnyLogic - Part 3

Previously, we discussed what reinforcement learning is at its core and why simulation is so important. We also started to dive into the actual example model in more detail.

This week, we will examine the flesh and bones of the model, looking into the actual agent classes used and some of their algorithms.

As usual, you can play with the model yourself here. Also, people keep asking if I will release this model. The answer is yes, after the end of the series :-)