policy
stockerl
Rosvend · PyTorch
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Overview
Name
stockerl
Author
Rosvend
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Stockerl is a reinforcement learning agent that learns to trade Amazon (AMZN) stock using Proximal Policy Optimization (PPO). Built with a custom Gymnasium environment and trained via Stable Baselines3.
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 stockerl yet.
Datasets that reference this policy
0No datasets reference stockerl yet.