A Program to digitalize twisty puzzles, save algorithms as well as solving strategies for them and solve them with an AI based on Q-Learning with Neural Networks.
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Updated
Jun 1, 2024 - Python
A Program to digitalize twisty puzzles, save algorithms as well as solving strategies for them and solve them with an AI based on Q-Learning with Neural Networks.
A collection of optimization puzzles and problems solved using mostly mixed integer programming.
⛰ Reinforcement learning model trying to make car reach to top of mountain
autoupdate paper list
This project is a Double Deep Q learning Agent that learns to play the dice game Yahtzee
(Yet another) Reinforcement Learning repository that aims to implement and benchmark various RL algorithms
Quant framework by OctoBot
Pytorch implementation of various distributed reinforcement learning algorithms
XCSF learning classifier system: rule-based online evolutionary machine learning
Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.
Implementation of Deep Q Learning on solving the honeypot placement problem.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making
Artificial Intelligence > Machine Learning > Deep Learning
SAPIEN Manipulation Skill Framework, a GPU parallelized robotics simulator and benchmark
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving
Machine learning and data analysis package implemented in JavaScript and its online demo.
PettingZoo ConnectFour and TicTacToe examples, configured with Rye as dependency manager
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