policy
Reinforcement-Learning-Projects-UNIWA
GeoNosX · PyTorch
or hover any field below to flag it
Overview
Name
Reinforcement-Learning-Projects-UNIWA
Author
GeoNosX
Framework
PyTorch
License
unknown
Skill type
navigation
Evidence level
untested
Task description
This project explores how modern Reinforcement Learning (RL) techniques can learn to play the classic Atari game Space Invaders. Using an agent trained through interaction with the environment, the model learns to shoot enemies, avoid losing lives, and maximize score.
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 Reinforcement-Learning-Projects-UNIWA yet.
Datasets that reference this policy
0No datasets reference Reinforcement-Learning-Projects-UNIWA yet.