policy
Hangman-Transformer-Agent
TusharVerma2497 · PyTorch
or hover any field below to flag it
Overview
Name
Hangman-Transformer-Agent
Author
TusharVerma2497
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
A novel formulation of the classic Hangman game as a sequential decision-making problem. A Transformer-based AI agent is trained to play Hangman by predicting the conditional probability distribution of the next character guess, given a partially masked word and the history of previous guesses.
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 Hangman-Transformer-Agent yet.
Datasets that reference this policy
0No datasets reference Hangman-Transformer-Agent yet.