GitHub / lucylow / Deep-Learning-Mahjong---
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lucylow%2FDeep-Learning-Mahjong---
PURL: pkg:github/lucylow/Deep-Learning-Mahjong---
Stars: 72
Forks: 10
Open issues: 0
License: other
Language: JavaScript
Size: 476 KB
Dependencies parsed at: Pending
Created at: about 6 years ago
Updated at: about 1 year ago
Pushed at: almost 3 years ago
Last synced at: about 1 year ago
Topics: battle-mahjong, computer-vision, deep-learning-mahjong, deep-neural-network, deep-q-network, game-development, game-play, game-theory, mahjong, markov-chain, markov-model, nlp, npc-generator, reactjs, reinforcement, reinforcement-learning, softmax, supervised-learning, supervised-machine-learning, tensorflow
Funding Links https://github.com/sponsors/lucylow