Shypd.aiThe largest open index of AI toolsRLCard is an open-source toolkit for reinforcement learning in card games, supporting various environments like Blackjack, Leduc, Texas Hold'em, DouDizhu, Mahjong, and UNO. It provides easy-to-use interfaces for implementing AI bots and RL algorithms.
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RLCard is a comprehensive, open-source toolkit designed for reinforcement learning (RL) in card games. Developed by DATA Lab at Rice and Texas A&M University, it offers a versatile platform for researchers and developers to implement and test various RL and searching algorithms within popular card game environments such as Blackjack, Leduc Hold'em, Texas Hold'em, DouDizhu, Mahjong, UNO, Gin Rummy, and Bridge. The toolkit provides easy-to-use interfaces, supports environment local seeding, multiprocessing, and includes a model zoo with pre-trained and rule-based models. It also integrates with PettingZoo, allowing for multi-agent reinforcement learning experiments.
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