Letting these ML agents loose on your game is also a good way to discover bugs in the implementation that a human player might never run into. When I first mess

Letting these ML agents loose on your game is also a good way to discover bugs in the implementation that a human player might never run into. When I first messed about with RL[1] I quickly discovered this, with my 'AI' learning to abuse invalid moves to get a re-roll of the dice or to stay put when it should have been forced to move. [1] - https://datasciencecastnet.home.blog/2020/01/24/swoggle-part-2-building-a-policy-network-with-pytorch-dealing-with-cheaty-agents-and-beating-the-game/ https://datasciencecastnet.home.blog/2020/01/24/swoggle-part...