policy
RL
SAIRISHIR · Stable-Baselines3
or hover any field below to flag it
Overview
Name
RL
Author
SAIRISHIR
Framework
Stable-Baselines3
License
unknown
Skill type
other
Evidence level
untested
Task description
Production-ready Multi-Agent RL Trading System using PyTorch, Stable-Baselines3, Gymnasium & Streamlit. Simulates trading, trains PPO/A2C/DQN agents, tracks ROI, cash, trades, learns multi-stock policies. Ideal for quant prototyping, strategy research, and RL engineering demos!
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 RL yet.
Datasets that reference this policy
0No datasets reference RL yet.