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On Choosing a Deep Reinforcement Learning Library

Dataiku

As Deep Reinforcement Learning is becoming one of the most hyped strategies to achieve AGI (aka Artificial General Intelligence ) more and more libraries are developed. But choosing the best for your needs can be a daunting task.

Strategy 111
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Curiosity-Driven Learning Through Next State Prediction

Dataiku

In the last few years, we’ve seen a lot of breakthroughs in reinforcement learning (RL). From 2013 with the first deep learning model to successfully learn a policy directly from pixel input using reinforcement learning to the OpenAI Dexterity project in 2019, we live in an exciting moment in RL research.

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Random Network Distillation: A New Take on Curiosity-Driven Learning

Dataiku

Last time , we learned about curiosity in deep reinforcement learning. The idea of curiosity-driven learning is to build a reward function that is intrinsic to the agent (generated by the agent itself). That is, the agent is a self-learner, as he is both the student and its own feedback teacher.

IT 105
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Evaluating Ray: Distributed Python for Massive Scalability

Domino Data Lab

this post on the Ray project blog ?. for reinforcement learning (RL), ? Motivations for Ray: Training a Reinforcement Learning (RL) Model. Motivations for Ray: Training a Reinforcement Learning (RL) Model. RL is the type of machine learning that was used recently to ?beat To Learn More.

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8 Modeling Tools to Build Complex Algorithms

Domino Data Lab

Just as the human brain can solve problems by applying lessons we learn from past experiences to new situations, a model is trained on a set of data and can solve problems with new sets of data. Before selecting a tool, you should first know your end goal – machine learning or deep learning. What Are Modeling Tools?

Modeling 111
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An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

Learn all about data dashboards with our executive bite-sized summary! To summarize, in the context of BI, data dashboards are used for: Deep-level insight: Drilling down deeper into key aspects of your business’s daily, weekly and monthly operation to create initiatives for increased efficiency. What Is A Data Dashboard?

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Machine Learning Product Management: Lessons Learned

Domino Data Lab

It focuses on his ML product management insights and lessons learned. Machine Learning Projects are Hard: Shifting from a Deterministic Process to a Probabilistic One. Over the years, I have listened to data scientists and machine learning (ML) researchers relay various pain points and challenges that impede their work.