Self driving car with Deep Q-Learning
Beautifully crafted UI components inspired by terminals, monospace & the 80's
Q-Learning Implementation for Process Optimization A reinforcement learning project that calculates the shortest route between locations using the Q-Learning algorithm. This code demonstrates how AI can optimize processes in a simulated environment with predefined states and rewards. 🚀
This repository holds all the projects related to the courses I took in my universities, online and audits. It is a fun repository, if you have suggestions to improve please raise issues.
Train your robot to walk using LibTorch and Bullet3 physic engine !
42 · An introduction guide to reinforcement learning, teaching a snake how to behave in an environment through trial and error.
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
(Yet another) Reinforcement Learning repository that aims to implement and benchmark various RL algorithms
Godpeny Github Page :)
An open source deep learning library for Unity.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Open-source simulator for autonomous driving research.
Python implementation of the Hugging Face's Reinforcement Learning tutorial.
FinRL: Financial Reinforcement Learning. 🔥
A curated list of reinforcement learning with human feedback resources (continually updated)
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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