Reinforcement Learning

Tracking Odor Plumes With AI Agents Using A Deep Reinforcement Learning Model

The extraordinary talents of animals have long served as a source of inspiration for scientists and engineers who have worked to reverse engineer or...

A New Transformer Based Reinforcement Learning Agent Called ‘AdA’ Inhabits a Rich 3D World and Can Rapidly Adapt to Tasks It Has Never Seen...

It has always been astounding how quickly humans can adjust to their environment. Artificial intelligence agents have been developed over many years to replicate...

Can Reinforcement Learning Learn Everything?

The latest paper (“Mastering Diverse Domains through World Models”) from Deepmind talks about an RL agent that can master diverse domains through World Models...

Google AI Introduces Robotics Transformer 1 (RT-1), A Multi-Task Model That Tokenizes Robot Inputs And Outputs Actions To Enable Efficient Inference At Runtime

The primary source of the most recent technological advancements we see today in numerous machine learning subfields is the knowledge transfer that occurs from...

Google AI Introduces Reincarnating Reinforcement Learning RL That Reuses Prior Computation to Accelerate Progress

Reinforcement Learning RL, which falls under the Machine Learning umbrella, focuses on training intelligent agents to make decisions by using related experiences. This could...

Latest Robotics Research Releases ‘Hora’: A Single Policy Capable of Rotating Diverse Objects With a Dexterous Robot Hand

In this article, UC Berkeley and Meta researchers demonstrate how an adaptive controller can be trained to rotate various objects over the z-axis using...

Deepmind Introduces ‘AlphaTensor,’ An Artificial Intelligence (AI) System For Discovering Novel, Efficient And Exact Algorithms For Matrix Multiplication

Improving the efficiency of algorithms for fundamental computations is a crucial task nowadays as it influences the overall pace of a large number of...

Top Real World Applications of Reinforcement Learning in 2022

Reinforcement Learning is a subfield of Machine Learning in which an agent explores an environment to learn how to perform specific tasks by taking...

Google AI Introduces A Novel Reinforcement Learning (RL) Training Paradigm, ‘ActorQ,’ To Speed Up Actor-Learner Distributed RL Training

Several sequential decision-making challenges, like robotics, gaming, nuclear physics, balloon navigation, etc., have been successfully addressed using deep reinforcement learning. However, despite its potential,...

Top Reinforcement Learning Tools/Platforms in 2022

What is reinforcement learning? Reinforcement learning is one subfield of machine learning. It involves acting appropriately to maximize reward in a particular circumstance. It is...

CMU Researcher Uses Deep Reinforcement Learning to help Control Nuclear Fusion Reactions

The process of joining two hydrogen nuclei to create a single, heavier nucleus is known as nuclear fusion. Massive amounts of energy are released...

Microsoft Researchers Develop a Game Theoretic Approach to Provably Correct and Scalable Offline Reinforcement Learning

Even though Machine learning is used in most fields and aspects, most of the automation is designed by humans, not artificial intelligence. For example,...

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