Reinforcement Learning

DeepMind Open-Sources Lab2D, A System For The Creation Of 2D Environments For Machine Learning

DeepMind recently open-sourced a software system called Lab2D. Lab2D is designed to support the creation of 2D environments for artificial intelligence and machine learning research.  The...

Google AI Introduces Menger, A Massive Large-Scale Distributed Reinforcement Learning (RL) Infrastructure

Reinforcement learning (RL) is a significant area of machine learning, with the potential to solve a lot of real world problems in various fields, like game...

Allen Institute for AI open-sources AllenAct, a framework designed with a focus on Embodied-AI research

Allen Institute for AI open-sources AllenAct, a modular and flexible learning framework designed to focus on the unique requirements of Embodied-AI research. Allen Institute...

DeepMind releases Acme: A library of reinforcement learning components and agents

DeepMind has recently released Acme, a library with an objective to simplify the development of reinforcement learning algorithms and agent building blocks. This application can be run...

How Artificial Intelligence Supports Human Intelligence in Business

In June, researchers at MIT and Brown University revealed their latest creation: Northstar. The system uses artificial intelligence (AI) and machine learning to allow...

List Of Free Reinforcement Learning Courses/Resources Online

Reinforcement Learning Offered at Georgia Tech as CS 8803Practical Reinforcement LearningReinforcement Learning ExplainedReinforcement Learning in FinanceIntroduction to reinforcement learningDeep Reinforcement Learning CS 294-112 at UC BerkeleyAn...

Combining Deep and Reinforcement learning

Machine learning fundamentally involves learning from the data and making conclusions/decisions about a given problem. It utilizes the following popular approaches. Supervised learning: In supervised...

How reinforcement learning can help in solving real-world problems?

Reinforcement Learning is a machine learning framework that enables an agent to evaluate the current environment, take optimal action, and get feedback from the...

Harnessing curiosity in Reinforcement Learning

Reinforcement learning is a specialized area of artificial intelligence where an algorithm applies independent and goal-oriented learning, based on rewards received from an environment....

14 Great Articles To Read About TensorFlow

First Steps with TensorFlow: ToolkitGoogle + open-source = TensorFlow 9 Things You Should Know About TensorFlowDeep Learning with TensorFlow in Python TensorFlow Tutorial For BeginnersImage Segmentation...

Artificial Intelligence – A Bitter-Sweet Symphony in Modelling

We have seen tremendous progress by artificial intelligence (AI) over the past decades. This progress, however, was not achieved steadily. There were significant ups...

Computer Machine Learning Techniques Aid Citizen Science Projects in Data Processing

Computer-based machine learning is becoming a significant part of citizen science projects. If we compared the situation ten years ago, the data scientists did...

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