Dopamine
A research framework for fast prototyping of reinforcement learning algorithms, designed for easy experimentation and reproducibility.
What is Dopamine?
Dopamine is a research framework designed for fast prototyping of reinforcement learning algorithms. It provides a small, easily understandable codebase that enables researchers to experiment with new ideas quickly and reliably. The framework includes implementations of several battle-tested RL agents and emphasizes reproducibility in experimental results.
Reinforcement learning researchers and practitioners who need a flexible, reliable framework for prototyping new algorithms and running reproducible experiments.
Developers choose Dopamine for its compact design, ease of experimentation, and strong emphasis on reproducibility. It offers a curated set of well-implemented agents while remaining simple enough to modify for novel research ideas.
Overview
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Use Cases
Best For
- Fast prototyping of new reinforcement learning algorithms
- Running reproducible benchmark experiments in RL research
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