I'm looking for a reinforcement API with an interface. I.e. I code my use case as class implementing the specified interface, and then pass that off to the API. My use case is backgammon variations. Specifically, hunting for variants that highly reward skill.
I'm looking for a reinforcement API with an interface. I.e. I code my use case as class implementing the specified interface, and then pass that off to the API. My use case is backgammon variations. Specifically, hunting for variants that highly reward skill.
Unfortunately I haven't done a lot in RL in the last few years so I'm not sure if there's anything like a scikit-learn for RL with a high level, generic API. All the RL code I've seen in research (mostly related to LLMs these days, not traditional game playing) is based on pytorch and pretty low level.
I'm looking for a reinforcement API with an interface. I.e. I code my use case as class implementing the specified interface, and then pass that off to the API. My use case is backgammon variations. Specifically, hunting for variants that highly reward skill.
Unfortunately I haven't done a lot in RL in the last few years so I'm not sure if there's anything like a scikit-learn for RL with a high level, generic API. All the RL code I've seen in research (mostly related to LLMs these days, not traditional game playing) is based on pytorch and pretty low level.
Ok, thx. If you come across anything ...
For sure....