policy
RL-Hangman-Game
BeatriceBon · TensorFlow
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Overview
Name
RL-Hangman-Game
Author
BeatriceBon
Framework
TensorFlow
License
unknown
Skill type
other
Evidence level
untested
Task description
A custom Reinforcement Learning project where an agent learns to play Hangman using a Proximal Policy Optimization (PPO) algorithm implemented from scratch in TensorFlow, trained on a word dataset via multiple parallel environments.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list RL-Hangman-Game yet.
Datasets that reference this policy
0No datasets reference RL-Hangman-Game yet.