Generated Boards

[mpSchrader]

Hi Ruben,

you might want to think about trying to train your algorithm on an environment, which generates a new, solvable room for every game. This ensures that your model is not learning the limited number of solutions for the predefined rooms, as pointed out in Imagination-Augmented Agents for Deep Reinforcement Learning
. I developed an environment for OpenAi gym, which does exactly that.
https://github.com/mpSchrader/gym-sokoban

Best,
Max