Stable Baselines3
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Updated
Dec 26, 2023 - Python
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.
ClimatePredictor implemented by using Proximal policy optimization (PPO) with ray framework for the FederatedLearning approach
This is a project for PPO S&P 500 trading
A Complete Collection of Deep RL Famous Algorithms implemented in Gymnasium most Popular environments
This Legal Document Analyzer is a proof-of-concept NLP project demonstrating the potential of transformers for legal document summarization.
AI-powered production line optimization using reinforcement learning (PPO).
End-to-end RL trading framework with PPO agent, self-attention neural network, custom Gym environment, and advanced backtesting.
PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
🚦 Next-generation AI Traffic Management System with real-time computer vision, reinforcement learning optimization, emergency vehicle detection, and immersive 3D visualization
AI - PPO-agent med CNN-policy for visuelle observasjoner. Agenten spiller mot en easy(eller annen difficulty) starcraft 2 bot i hoved filen som brukes (les readme) Masked actions sørger for at agenten velger valide handlinger av de 572 handlingene som er tilgjengelige.
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.
A legged locomotion project
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!
Working on new variant of PPO implemented in predefined jvrc robot simulation and SLM model integration
2D orbital rocket sim with PPO in PyTorch. Models thrust, drag, gravity, fuel; agent learns efficient ascent. Includes telemetry & visualization
A specialized Reinforcement Learning (RL) project focused on multi-task mastery across 10 distinct gaming environments. General-Gamer-AI-Lite implements a lightweight multi-task agent designed to learn shared representations and transfer knowledge between varied game mechanics, from classic arcade challenges to strategic grid worlds.
Multi-modal RL trading agent (CNN + PPO) integrating market prices, macroeconomic indicators, and news signals . MSc dissertation artefact.
AI-based Autonomous Driving Simulation using Reinforcement Learning. Implements a hybrid PPO + Imitation Learning architecture for efficient, safe policy optimization in MetaDrive.
Среда робота-уборщика на базе Gymnasium с обучением через s-b3 PPO
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