PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.

TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets

A C# Unity mod connected through a named pipe with Python for training a Reinforcement Learning agent to fight Hollow Knight Hornet Protector

Lightweight, GPU-accelerated reinforcement learning for Isaac Lab, mjlab, and Gymnasium.

End-to-end RL trading framework with PPO agent, self-attention neural network, custom Gym environment, and advanced backtesting.

💡 Grasp - Pick-and-place with a robotic hand 👨🏻‍💻

Reinforcement learning (PPO & DQN) for optimizing Reconfigurable Intelligent Surface (RIS) phase configurations in 6G mmWave systems. The PPO agent learns to sequentially configure a 256-element RIS array, achieving >96% of optimal channel gain across diverse geometries.

A Complete Collection of Deep RL Famous Algorithms implemented in Gymnasium most Popular environments

A high-performance RL decision system for Slay the Spire. Features: Headless multi-process training, Protobuf-based cross-language communication (Java/Python/C++), and ONNX deployment.基于多进程无头环境与 Protobuf 协议的《杀戮尖塔》强化学习决策系统。集成 PPO 算法、Java Mod 数据拦截、Qt/C++ 推理客户端及云边端协同架构。

🚦 Next-generation AI Traffic Management System with real-time computer vision, reinforcement learning optimization, emergency vehicle detection, and immersive 3D visualization

A simple benchmark project that compares AI driving agents and rule-based kart controllers in Unity. It tracks performance, replayability, and human-like driving behavior in a fully reproducible setup.

LibreGrabbe 16-DOF Robot Hand

This repository is dedicated to implementing algorithms "From Scratch". It goes beyond simple API calls, diving deep into the underlying logic of everything from basic training to cutting-edge techniques like DeepSeek-R1.

This project demonstrates how reinforcement learning can be used to analyze market behavior and learn automated stock trading strategies. It integrates technical analysis, data visualization, and RL algorithms to produce an intelligent trading simulation.

A legged locomotion project

Curriculum-based trained PPO agent for longitudinal flight control of a Cessna 172 in JSBSim. Tested against Baseline PID across turbulence, wind shear, and degraded elevator control authority scenarios. MATLAB/Python.

This is a project for PPO S&P 500 trading

Hybrid NIDS combining unsupervised autoencoders (Feedforward, Denoising, Convolutional) with a PPO reinforcement learning agent trained on 2.8M+ CICIDS-2017 flows. Achieves ~92% F1-score with cost-sensitive reward shaping prioritizing attack recall.

What is Proximal Policy Optimization (PPO) leaving behind?

2D orbital rocket sim with PPO in PyTorch. Models thrust, drag, gravity, fuel; agent learns efficient ascent. Includes telemetry & visualization