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An attempt at a Python implementation of Pluribus, a No-Limits Hold'em Poker Bot

Python 51.14% Makefile 0.29% C++ 48.57%
poker counterfactual-regret-minimization pluribus python texas-holdem machine-learning artificial-intelligence depth-limited-solving real-time-search

pluribus's Issues

Implement Subgame Solving

This is the bulk of the computation for the real-time-search. Once this is implemented, we have a basic MVP.

Track Valid Actions

Especially during real-time-search, we need to keep track of the valid actions to start with. We should implement this as a map where each infoset keeps track of actions that are valid at that game state

Extend MCCFR to General

Currently, we hard code in the number of actions needed and how many players are playing (2) for Kuhn Poker. We need to extend this for larger variants of the poker games.

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