Bellman-devs/bellman
Model-based reinforcement learning in TensorFlow
Bellman helps machine learning researchers and practitioners design and implement advanced model-based reinforcement learning algorithms. It takes in your environment definitions and desired learning objectives, and outputs optimized control policies or decision-making strategies. This is for users who are building AI agents that learn to interact with and control dynamic systems.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning researcher or developer building sophisticated reinforcement learning agents and want a flexible, modular framework for model-based approaches.
Not ideal if you are looking for a simple, out-of-the-box solution for basic reinforcement learning tasks without needing to customize the underlying models or planning methods.
Stars
56
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 27, 2021
Commits (30d)
0
Dependencies
7
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