Closed SmartAI closed 5 years ago
@SmartAI Create a game engine that emulates Texas Hold'em, extend the gym.Env
class and maintain the standard gym environment API. It may sound simple at first but multi-agent environments are non-trivial to implement and standardize. You may notice that there is a sparsity of such cases, but as a work around you can encode the multi- state- and action- space as spaces.Tuple
of states/actions corresponding to players.
Good luck!
@SmartAI fyi I threw something together that demonstrates how a Texas Hold'em gym environment can be done, this is just one of many possibilities
@wenkesj Thanks for your suggestion.
Thanks for answering this @wenkesj!
Put an implementation together here: https://github.com/dickreuter/neuron_poker
It also demonstrates some implementations with reinforcement learning.
I want to do some research in playing Texas hold'em, how can I use gym?