policy

RL

SAIRISHIR · Stable-Baselines3

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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

20

Compatible environments

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Datasets that reference this policy

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No datasets reference RL yet.