Listen "197: TZ Interview - Peter Stone / Robot Soccer and Multiagent Learning"
Episode Synopsis
Jason talks with Peter Stone, director of the Learning Agents Research Group at UT Austin, whose team, UT Austin Villa, won both the standard platform league and the 3D simulation league of the RoboCup 2012 competition. They discuss why robot soccer is a good motivating application domain for machine learning, how the RoboCup competition got started and the kinds of teams that participate, the offshoot competition RoboCup Jr, why the machine learning technique known as reinforcement learning works so well in complex, dynamic environments, the role played by game theory in multiagents systems, Peter's involvement in developing autonomous driving vehicles and what it's like to run an artificial intelligence laboratory.
More episodes of the podcast TechZing
413: TZ Discussion - The Deadline
09/12/2025
410: TZ Discussion - The Prime Directive
23/06/2025
409: TZ Discussion - From Suck to Blow
25/05/2025
408: TZ Discussion - The Space Closet
18/03/2025
406: TZ Discussion - Unkillable
24/10/2024
405: TZ Discussion - Dude, Where's My Code?
30/08/2024
404: TZ Discussion - Episode Not Found
28/07/2024
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.