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google/dopamine

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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Google

Google

google • big-tech

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10,861

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1,393

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Created

Jul 26, 2018

Project creation date

README Summary

Dopamine is Google's research framework designed for fast prototyping of reinforcement learning algorithms. It provides a flexible and modular architecture that allows researchers to quickly implement and experiment with new RL ideas. The framework emphasizes simplicity, reliability, and reproducibility in reinforcement learning research.

AI Dev Skills

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Deep Reinforcement LearningQ-LearningDeep Q-Networks (DQN)Policy Gradient MethodsActor-Critic MethodsAtari Game AINeural Network Architecture DesignReinforcement Learning Algorithm ImplementationTensorFlow/JAX Programming

Tags

Deep Reinforcement LearningQ-LearningDeep Q-Networks (DQN)Policy Gradient MethodsActor-Critic MethodsAtari Game AINeural Network Architecture DesignReinforcement Learning Algorithm ImplementationTensorFlow/JAX ProgrammingRoboticsGamingAutonomous SystemsDeep RL ExperimentationAtari Game PlayingReinforcement Learning ResearchSelf-hostedTabularAcademic Research ProjectsImageResearch ReproducibilityAlgorithm BenchmarkingResearch ComputingJupyter Notebook

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research
Quality
medium
Maturity
research

Categories

Dev Tools & AutomationPrimaryLearning ResourcesEvals & BenchmarkingData Science & AnalyticsSearch & KnowledgeOther AI / MLAI AgentsModel TrainingRobotics

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Jupyter Notebook100.0%

Timeline

Project created
Jul 26, 2018
Forked
Mar 13, 2026
Your last push
1 years ago
Upstream last push
20 days ago
Tracked since
Nov 4, 2024

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