Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AI and ML in Health Care: A Brief Review
 Of the many disciplines that are active users of...
Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
 Isn’t it satisfying to find a tool that makes...
Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
SHARE THIS:

2 months ago
A Far-Sighted Approach to Machine Learning

 
Originally published in MIT News, Nov 23, 2022.

New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.

Picture two teams squaring off on a football field. The players can cooperate to achieve an objective, and compete against other players with conflicting interests. That’s how the game works.

Creating artificial intelligence agents that can learn to compete and cooperate as effectively as humans remains a thorny problem. A key challenge is enabling AI agents to anticipate future behaviors of other agents when they are all learning simultaneously.

Because of the complexity of this problem, current approaches tend to be myopic; the agents can only guess the next few moves of their teammates or competitors, which leads to poor performance in the long run.

Researchers from MIT, the MIT-IBM Watson AI Lab, and elsewhere have developed a new approach that gives AI agents a farsighted perspective. Their machine-learning framework enables cooperative or competitive AI agents to consider what other agents will do as time approaches infinity, not just over a few next steps. The agents then adapt their behaviors accordingly to influence other agents’ future behaviors and arrive at an optimal, long-term solution.

To continue reading this article, click here.

One thought on “A Far-Sighted Approach to Machine Learning

  1. I’ve read a few posts on your website and I think it’s very interesting and full of useful information. Thanks for your post and thanks players in bloxorz which is an online game, introducing it to me.

     

Leave a Reply