policy
Super-Mario-Reinforcement-Learning
Prateek2603 · PyTorch
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Overview
Name
Super-Mario-Reinforcement-Learning
Author
Prateek2603
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Trained an Reinforcement Learning agent to autonomously master the Super Mario game using the Proximal Policy Optimization (PPO) algorithm
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
0No environments list Super-Mario-Reinforcement-Learning yet.
Datasets that reference this policy
0No datasets reference Super-Mario-Reinforcement-Learning yet.