Play Google Chrome's T-rex game with TensorFlow
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Updated
Nov 22, 2022 - JavaScript
Play Google Chrome's T-rex game with TensorFlow
🐍 AI that learns to play Snake using Q-Learning (Reinforcement Learning)
MIT DeepTraffic top 2% solution (75.01 mph) 🚗.
Flappy Bird with Q-learning
A gym environment for Stuart Armstrong's model of a treacherous turn.
A random environment reinforcement learning-powered Mario game
RLjs currently serves as an interactive playground for learning reinforcement learning.
Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)
An AI that learns to solve mazes with Q-Learning algorithm 🧠
Einreichung für die it-talents.de/Adesso Code-Competition Oktober 2017 ("Kampf gegen Mühlen"). Eine ES6-Webapplikation auf Basis von vue.js, fabric.js und synaptic für das Spiel Mühle im Browser. Es stehen unterschiedlich starke AI mit diversen Charakteristika zur Verfuegung. Das Spiel und AI laufen komplett im Browser als WebWorker.
A repository containing solutions to the challenges presented in the course MIT 6.S094: Deep Learning for Self-Driving Cars
YODO: Inverse Reinforcement Learning
I am trying to implement various AI algorithms on various environments (like OpenAI-gym) as I learned my toward the safe AI
My attempt of replicating Love Letter board game
Sprite Garden
DQN on Flappy Bird
A game using Q-Learning artificial intelligence.
MazeRunner project is an interactive, browser-based visualization of a Deep Q-Network (DQN) agent learning to solve a 10x10 maze. The entire reinforcement learning process, from model creation to training and inference, runs directly in your browser using TensorFlow.js.
Project 3 - AI Fundamentals - UCS
An introductory example to reinforcement learning and q-networks.
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