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Super-Mario-Bros-AI-Training-and-Evaluation
Patenro · PyTorch
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Overview
Name
Super-Mario-Bros-AI-Training-and-Evaluation
Author
Patenro
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This repository contains code for training an AI agent to play the Super Mario Bros game using reinforcement learning algorithms such as DQN, A2C, and PPO. It also includes evaluation of the trained models and testing of the best-performing model.
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
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Datasets that reference this policy
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