policy
scopa-master
WildPino · PyTorch
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Overview
Name
scopa-master
Author
WildPino
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This repository implements a Reinforcement Learning (RL) environment for the Italian card game Scopa, using the gymnasium library and Proximal Policy Optimization (PPO). The aim is to train an AI agent to master Scopa through self-play and state observation, handling unique mechanics like the two-ph
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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Datasets that reference this policy
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