policy
briscola-1-vs-1
SilvioBaratto · PyTorch
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Overview
Name
briscola-1-vs-1
Author
SilvioBaratto
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
A reinforcement learning system that trains AI agents to play Briscola, the classic Italian trick-taking card game. The agent learns optimal strategies through self-play against an LLM-powered opponent using Proximal Policy Optimization (PPO).
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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