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Reinforcement Learning

Motivations | 2021 | Links:

Reinforcement Learning

Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward.

Books

  • Reinforcement Learning: An Introduction. Richard S. Sutton and Andrew G. Barto

Resources

  • Repository: Reviewing Common RL Algorithms (In Progress)

Oscar Guarnizo

About

Hi, I’m Oscar Guarnizo, a young computer scientist from Ecuador. My research expertise relies on computer vision and deep learning. I have already worked on projects related to convolutional neural networks (CNN) for classification, segmentation, license plate recognition, and generative adversarial networks. However, I am currently turning towards Reinforcement Learning (RL) research, a mature technology with a solid contextualization and mathematical formulation.

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Other Projects

Machine Learning

Machine Learning

ML algorithms provide different solutions to current issues through its three approaches, Supervised learning, Unsupervised learning, and Reinforcement learning Continue reading Machine Learning

Learning How To Learn

Learning How To Learn

Learning how to learn is one of the most critical skills a person can develop because it opens up many possibilities. Overall, being a self-learner is the most fantastic skill you can have. Continue reading Learning How To Learn


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Oscar Guarnizo

Oscar Guarnizo

Hi there! I’m Oscar, a young computer scientist from Ecuador interested in AI/ML.

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