PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
🐢 AI for Super Auto Pets
A reinforcement learning project that trains an agent to play the classic Snake game using Proximal Policy Optimization (PPO) from Stable-Baselines3.
extracts sprite information from Scratch SB3 files and dumps well-named asset files.
CSoC week 4 assignment. A multi-agent environement built from scratch and trained.
This project uses Reinforcement Learning (RL) with Stable-Baselines3's PPO algorithm to classify text as either AI-generated or Human-written. The dataset consists of ~500K essays, labeled accordingly, and processed using TF-IDF vectorization. A custom Gymnasium environment is created to train the model to classify text based on rewards.
Custom extensions for Stable-Baselines3
A Python tool to reconstruct .sb3 files from packaged TurboWarp Electron apps.
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