policy
atari-pong-drl
saman-aboutorab · Stable-Baselines3
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Overview
Name
atari-pong-drl
Author
saman-aboutorab
Framework
Stable-Baselines3
License
unknown
Skill type
manipulation
Evidence level
untested
Task description
DQN agent trained on Atari Pong from raw pixels using Stable-Baselines3 and PyTorch. Features CNN policy, 4-frame stacking, Atari preprocessing wrappers, and TensorBoard logging.
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 atari-pong-drl yet.
Datasets that reference this policy
0No datasets reference atari-pong-drl yet.