GitHub / Vnadh / AI-vs.-Human-Text-Classification-using-RL
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.
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Language: Python
Size: 6.92 MB
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Created at: about 1 month ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago