PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
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Updated
May 3, 2025 - Python
PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
A Complete Collection of Deep RL Famous Algorithms implemented in Gymnasium most Popular environments
This is a project for PPO S&P 500 trading
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.
Stable Baselines3
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