drl-wizard 0.1.3

Deep Reinforcement Learning training platform

DRL Wizard

DRL Wizard is a clean, modular Deep Reinforcement Learning toolkit for training, comparing, and understanding modern RL algorithms. It supports multiple environments, multiple algorithms, real-time monitoring, and a unified workflow through a FastAPI backend and Streamlit UI.

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🚀 Features

• Algorithms: PPO, TRPO, DQN, Double DQN, Dueling DQN, SAC (more coming)
• Environments: Gymnasium, Atari (ALE), image-based & multi-discrete action spaces
• Architecture: FastAPI backend, Streamlit UI, SQLAlchemy storage, Pydantic configs
• Experiment Tools: concurrent jobs, graceful stop, NDJSON logs, TensorBoard, job archives
• Extensible: easy to add algorithms, envs, or visualization components

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📦 Installation

Basic

pip install drl-wizard

UI + Dev tools:

pip install drl-wizard[ui,dev]

🖥️ Running

• Running the UI & Backend:

drl-wizard-run

• Running Backend:

drl-wizard-api

• Running UI:

drl-wizard-ui

📝 Notes

• drl-wizard-run launches the full platform.

• Extras ([ui], [dev]) include Streamlit, and development dependencies.