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

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

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

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

LibreGrabbe 16-DOF Robot Hand

Comparative research platform for Deep Reinforcement Learning and heuristic controllers in autonomous racing. Benchmarks DRL (PPO) agents against deterministic baselines in Unity MiniKart, with full reproducibility, human-like evaluation, and performance logs.

This repository implements a Proximal Policy Optimization (PPO) agent that learns to play Super Mario Bros using TensorFlow/Keras and OpenAI Gym. Features CNNs for vision, Actor-Critic architecture, and parallel environments. Train your own Mario master or run a pre-trained one!

This is a project for PPO S&P 500 trading

Reinforcement learning–based controller for balancing an inverted pendulum using Proximal Policy Optimization (PPO). Supports configurable mass, length, and gravity settings (Earth, lunar, microgravity) with automated training logs, reward visualization, and performance analysis.

An RL based model using PPO algorithm leveraging OpenAI Gym environment to play the popular Super Mario game.

Developed-an-AWS-DeepRacer-model-using-Python-&-the-PPO-algorithm,-leveraging-TensorFlow-to-train-&-fine-tune-a-deep-reinforcement-learning-model.-Designed-a-custom-reward-function-&-optimized-hyperparameters-to-improve-policy-learning-&-navigation-performance.-Utilized-AWS-infrastructure-for-scalable-training-&-deployment.

Stable Baselines3

AI agents for Trackmania using the TMRL package. Implemented DDPG, PPO, and used two SAC algorithms (with one or two critics) to train cars to navigate custom-built tracks.

Training a lunar lander to land using the OpenAI "gym" library and Stable Baselines3 "PPO" reinforcement learning algorithm

ClimatePredictor implemented by using Proximal policy optimization (PPO) with ray framework for the FederatedLearning approach

This repository explores Reinforcement Learning (RL) through hands-on implementations of key algorithms and environments. It demonstrates how agents learn by interacting with environments, optimizing rewards, and adapting to tasks ranging from Atari games to autonomous driving and custom simulations.

This Legal Document Analyzer is a proof-of-concept NLP project demonstrating the potential of transformers for legal document summarization.