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mtg-ai

Forkei · PyTorch

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Overview

Name
mtg-ai
Author
Forkei
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
MTG AI engine: rules simulation + LLM card parsing + PPO self-play RL training

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 yet
SpotBoston DynamicsT1Booster RoboticsApolloApptronik

Compatible environments

0

No environments list mtg-ai yet.

Datasets that reference this policy

0

No datasets reference mtg-ai yet.