Tensorflow Rl

Implementations of deep RL papers and random experimentation
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
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Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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A course in reinforcement learning in the wild
Agents2,65856 months ago49October 03, 2023184apache-2.0Python
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
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An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Coach2,312112 years ago13October 10, 201990apache-2.0Python
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Garage1,6772a year ago21March 23, 2021231mitPython
A toolkit for reproducible reinforcement learning research.
Noreward Rl1,315
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[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
Rlzoo561
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A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
Neptune Client5186433 months ago197December 07, 202335apache-2.0Python
📘 The MLOps stack component for experiment tracking
Tensorflow Reinforce477
7 years ago7mitPython
Implementations of Reinforcement Learning Models in Tensorflow
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