lucidrains/streaming-deep-rl
Explorations into the proposed Streaming Deep Reinforcement Learning, from University of Alberta
This project explores and implements 'Streaming Deep Reinforcement Learning' (SDRL), a new approach to training AI agents. It takes in real-time state observations and rewards from an environment, and outputs optimal actions for the agent to take. This is for AI researchers and practitioners who develop and train intelligent agents for various tasks.
Available on PyPI.
Use this if you are a researcher or advanced practitioner interested in experimenting with and applying cutting-edge streaming reinforcement learning algorithms, particularly those based on actor-critic and Q-learning methods.
Not ideal if you are looking for a plug-and-play solution for general reinforcement learning tasks without needing to understand the underlying algorithmic details or if you're not comfortable with Python development.
Stars
24
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 25, 2026
Monthly downloads
804
Commits (30d)
0
Dependencies
7
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