NVIDIA Recreated PAC-MAN By Using This Neural Network Model

On the eve of PAC-MAN’s 40th anniversary, the researchers at the prominent tech giant, NVIDIA, teamed up with MIT, the University of Toronto and Vector Institute to build a new AI model known as GameGAN to recreate the gaming environment…

How Neural Network Can Be Trained To Play The Snake Game

At the present scenario, video games portray a crucial role when it comes to AI and ML model development and evaluation. This methodology has been around the corner for a few decades now. The custom-built Nimrod digital computer by Ferranti…

Ad Click-Through-Rate (CTR) Prediction using Reinforcement Learning

In this article, we will discuss reinforcement learning in Click-Through-Rate (CTR) prediction of web advertisements. We will see the practical implementation of Upper Confidence Bound (UCB), a method of reinforcement learning applied in this task. Using this implementation, one can be able to find the best version of the advertisement from a set of available versions that can get a maximum number of clicks by the visitors on the website.

Reinforcement Learning With Augmented Data Is So Superior It Beats Google & DeepMind Hands-down

From teaching a robot to drive itself off-road to adapting to never-before-seen tasks and grasping occluded objects, University of California, Berkeley, has been investing and doing a number of researches around self-learning techniques.  Recently, researchers at UC Berkeley open-sourced reinforcement…

Top 10 Free Resources To Learn Reinforcement Learning

Reinforcement learning is one of the most popular machine learning techniques among organisations to develop solutions like recommendation systems, healthcare, robotics, transportations, among others. This learning technique follows the “trial and error” method and interacts with the environment to learn…

How To Make Reinforcement Learning Work For Robotics

Reinforcement learning is one of the most happening domains within AI since the early days. The innovations are often ingenious, but we rarely see them in the real world. Robotics is one area where reinforcement learning is widely used, where…

How To Address Offline Reinforcement Learning Challenges

Reinforcement learning is one of the most important techniques used to achieve artificial general intelligence. However, it has various disadvantages that prevent researchers from achieving true AI. Since AI agents are trained to learn by hit and trial method, providing…

IIT Bombay Researcher Uses ML To Find Best Lockdown Policy

A team of researchers from IIT Bombay and Microsoft Research have used reinforcement learning to find approaches that would help figure out the right policies during lockdowns. The researchers have published their work in a paper titled ’ Optimizing Lockdown…

On-Policy VS Off-Policy Reinforcement Learning

A reinforcement learning system consists of four main elements: An agent A policy  A reward signal, and  A value function An agent’s behaviour at any point of time is defined in terms of a policy. A policy is like a…

After Poker And Go, Reinforcement Learning Is Now Beating Mahjong Players

For the first time, an AI model has outperformed top players in the game of Mahjong. Microsoft Research Asia designed an AI model for Mahjong known as Suphx. The researchers evaluated Suphx on the most popular and competitive Mahjong platform,…

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