Patrick received his Ph.D. in computer science at the University of Texas at Austin where he was advised by Peter Stone. Patrick received both his bachelor’s and master’s degrees in electrical engineering from Rice University. Patrick's research spans the areas of autonomous multiagent systems, robotics, and machine learning with an emphasis on reinforcement learning. As part of his research, Patrick has served as the team leader of the robot soccer UT Austin Villa RoboCup 3D Simulation League team, and has contributed to the team winning the RoboCup 3D Simulation League world championship nine times. Prior to joining Sony, Patrick was a postdoctoral researcher at Microsoft Research.
“My research focus spans across the areas of autonomous multiagent systems, robotics, and machine learning. In particular I'm interested in using reinforcement learning to develop intelligent autonomous agents that are robust to changes in their environments and can adapt to new surroundings. I'm excited to be developing and applying artificial intelligence and machine learning approaches to solve interesting hard real world problems at Sony!”
Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning
Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these conditions; drivers must execute complex tactical manoeuvres to pass or block…
September 15, 2022 | Sony AI | GT Sophy
Don’t Cross That Line! How Our AI Agent Learned Sportsmanship
GT SOPHY TECHNICAL SERIES Starting in 2020, the research and engineering team at Sony AI set out to do something that had never been done before: create an AI agent that could beat the best drivers in the world at the PlayStation®…
GT SOPHY TECHNICAL SERIES Starting in 2020, the research and engineering team at Sony AI set out to do something that had never be…