monkeymagick
[H]News
- Joined
- Jun 22, 2008
- Messages
- 480
While I'm still trying to get to Donkey Kong's kill screen myself, researchers at Microsoft developed artificial intelligience using reinforcement learning to beat Ms. Pac-Man. The team from Maluuba, recently acquired by Microsoft this year specifically used the Atari 2600 version of Ms. Pac-Man and was able to achieve the max score of 999,990. And why not just plain ol' Pac-Man, the game was designed harder to be less predicatable than regular Pac-Man and to steal your quarters. The method the group called "Hybrid Reward Architecture," used agents to find the best solutions to different assigned tasks. Working in parallel each agent would be rewarded for completing the tasks and achieved better results when acting more egotistically, not unlike a good game of Battlefield.
Check out the video.
...significant achievement among AI researchers, who have been using various videogames to test their systems but have found Ms. Pac-Man among the most difficult to crack.
It may seem strange that it takes some of the most advanced AI research methods to beat something as seemingly simple as a 1980s Atari game. But Rahul Mehrotra, a program manager at Maluuba, said figuring out how to win these types of videogames is actually quite complex, because of the huge variety of situations you can encounter while playing the game.
Check out the video.
...significant achievement among AI researchers, who have been using various videogames to test their systems but have found Ms. Pac-Man among the most difficult to crack.
It may seem strange that it takes some of the most advanced AI research methods to beat something as seemingly simple as a 1980s Atari game. But Rahul Mehrotra, a program manager at Maluuba, said figuring out how to win these types of videogames is actually quite complex, because of the huge variety of situations you can encounter while playing the game.