Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
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Updated
Aug 24, 2022 - JavaScript
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
Using power of Three.js and Ammo.js .Class oriented , script type module. No build no extra time spend needed. Networking with webRTC/Node.js signaling server. First person shooter Multiplayer solution
This is a Javascript Game created using Phaser 3 and Javascript ES6 Syntax. The game can save your name and score to an API endpoint.
2D RPG desktop game developed in JavaScript using Phaser 3. The Player has to use arrow keys to move the sprite and the space key to beat the enemies. App uses leaderboard API to post the player score to the server. The top 5 scorers are displayed in leaderboard.
A React and Rails implementation of the board game Onitama. Uses ActionCable to communicate between the server and players and allows realtime two player games.
Live Preview : https://codepen.io/ManalLiaquat/full/qYZPwq
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