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

This is a project for PPO S&P 500 trading

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

This project is created to demonstrate my beginner level understanding on the concept of Reinforcement Learning and its Algorithms

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

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

Stable Baselines3

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.

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

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.

LibreGrabbe 16-DOF Robot Hand

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.

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.