How Microsoft’s AI Mastered Ms. Pac-Man – Robotics Trends

Add Ms. Pac-Man to the growing list of games being mastered by artificial intelligence (AI).

An AI system from Microsoft set the all-time high score for Ms. Pac-Man with 999,990 points – the highest possible score in the game.  The previous high score was 933,580 points set by Abdner Ashman, a human from New York.

Microsoft explains how a technique called Hybrid Reward Architecture used 150 agents for a specific task in the game, like finding pellets, or avoiding ghosts. This allowed Microsoft’s AI to play a perfect game.

Then, the researchers created a top agent – sort of like a senior manager at a company – who took suggestions from all the agents and used them to decide where to move Ms. Pac-Man.“

The top agent took into account how many agents advocated for going in a certain direction, but it also looked at intensity.

Read more: How Microsoft’s AI Mastered Ms. Pac-Man – Robotics Trends

Don’t forget to share this via , Google+, Pinterest, LinkedIn, Buffer, , Tumblr, Reddit, StumbleUpon and Delicious.

Mike Rawson

Mike Rawson has recently re-awoken a long-standing interest in robots and our automated future. He lives in London with a single android - a temperamental vacuum cleaner - but is looking forward to getting more cyborgs soon.

Leave a Reply

Your email address will not be published. Required fields are marked *

How Microsoft’s AI Mastered Ms. Pac-Man – Robotics Trends

by Mike Rawson time to read: 1 min
Hi there - can I help you with anything?
[Subscribe here]
More in Machine Learning, Man v Robot, Video
A dextrous robot
The most dexterous robot yet learned to grasp from virtual objects

A dexterous multi-fingered robot practiced using virtual objects in a simulated world, showing how machine learning and the cloud could...