policy
Ruleta-Sac
FTabilo-ml · Stable-Baselines3
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Overview
Name
Ruleta-Sac
Author
FTabilo-ml
Framework
Stable-Baselines3
License
MIT
Skill type
other
Evidence level
untested
Task description
Implementation of a European roulette game and a custom Gymnasium environment trained with Soft Actor-Critic (SAC) using Stable-Baselines3. Includes PyGame visualization, training/evaluation scripts, and bankroll simulations to analyze RL performance in a negative-expectation casino game.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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Compatible environments
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Datasets that reference this policy
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