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Rlqp

Accelerating Quadratic Optimization with Reinforcement Learning

Categories > Machine Learning > Reinforcement Learning

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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

dependent packages 17total releases 46most recent commit 5 months ago

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Machine learning, in numpy

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Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

dependent packages 8total releases 79most recent commit a year ago

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Python Implementation of Reinforcement Learning: An Introduction

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Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

dependent packages 114total releases 226most recent commit 4 months ago

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