Jason Pazis

8 papers and 59 indexed citations i.

Jason Pazis has authored 8 papers that have received a total of 59 indexed citations. This includes 8 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. The topics of these papers are Reinforcement Learning in Robotics (7 papers), Formal Methods in Verification (2 papers) and Machine Learning and Algorithms (2 papers). Jason Pazis is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Formal Methods in Verification (2 papers) and Machine Learning and Algorithms (2 papers) and collaborates with scholars based in United States. Jason Pazis's co-authors include Ronald Parr, Jonathan P. How, Shayegan Omidshafiei, Dong Ki Kim and Christopher Amato and has published in prestigious journals such as Autonomous Agents and Multi-Agent Systems