policy
RL_Space_Invaders
ROCCYK · PyTorch
or hover any field below to flag it
Overview
Name
RL_Space_Invaders
Author
ROCCYK
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
An interactive reinforcement learning project where agents trained using Deep Q-Network (DQN) and Proximal Policy Optimization (PPO) play Atari's classic Space Invaders. The project includes a Streamlit app to visualize and compare the performance of both agents.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
0+20 mentioned but not in catalog yetNo robots list RL_Space_Invaders as compatible yet. Know of one? Flag it above.
Compatible environments
0No environments list RL_Space_Invaders yet.
Datasets that reference this policy
0No datasets reference RL_Space_Invaders yet.