policy
AI-vs.-Human-Text-Classification-using-RL
Vnadh · Stable-Baselines3
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Overview
Name
AI-vs.-Human-Text-Classification-using-RL
Author
Vnadh
Framework
Stable-Baselines3
License
unknown
Skill type
other
Evidence level
untested
Task description
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 m
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
20anybotics-anymal-cnot in seedalohanot in seedgoogle-barkour-vbnot in seedboston-dynamics-spotnot in seedfranka-fr3not in seedgoogle-barkour-v0not in seedagilex-pipernot in seedberkeley-humanoidnot in seedbitcraze-crazyflie-2not in seedanybotics-anymal-bnot in seedagility-cassienot in seedarx-l5not in seedbooster-t1not in seedfranka-emika-pandanot in seedfranka-fr3-v2not in seeddynamixel-2rnot in seedflexiv-rizon4not in seedassetsnot in seedapptronik-apollonot in seedfourier-n1not in seed
Compatible environments
0No environments list AI-vs.-Human-Text-Classification-using-RL yet.
Datasets that reference this policy
0No datasets reference AI-vs.-Human-Text-Classification-using-RL yet.