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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vnadh%2FAI-vs.-Human-Text-Classification-using-RL

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 6.92 MB
Dependencies parsed at: Pending

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

Topics: python3, sb3

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