Dr. Prashant Doshi
Director, THINC Lab
THINC lab is located in the Boyd Graduate Studies Research Center in the southern part of the UGA campus. Currently, more than 10 graduate students including doctoral and masters students are conducting research in the lab. Research conducted in the lab has been funded by grants from the Air Force and Army Research Offices, National Science Foundation, National Institutes of Health and the industry.
Can a robot plan a path to penetrate a patrol by two other robots after simply observing them from a vantage point?
This challenging application domain is motivating PhD students in the THINC lab such as Ken Bogert to develop new methods for inverse reinforcement learning (IRL) – a relatively new area of research that seeks to learn the preferences of an agent from observations of its actions. Researchers are advancing IRL to real-world situations involving multiple experts, occluded trajectories and partly hidden actions with experimentation being conducted on TurtleBots. Other IRL application domains pursued in the lab involve learning driver models for self-driving cars in collaboration with Toyota. [Learn more..]
 Mazen Melibari, Pascal Poupart and Prashant Doshi, Sum-Product-Max Networks for Tractable Decision Making, accepted in IJCAI, 2016. [paper]
 Mazen Melibari, Pascal Poupart and Prashant Doshi, Sum-Product-Max Networks for Tractable Decision Making, accepted in AAMAS 2016 (extended abstract).
 Roi Ceren, Prashant Doshi and Bikramjit Banerjee, Reinforcement Learning in Partially Observable Multiagent Settings: Monte Carlo Exploring Policies, accepted in AAMAS 2016 (full paper). [paper]
 Kenneth Bogert, Jonathan Lin, Prashant Doshi and Dana Kulic, Expectation-Maximization for Inverse Reinforcement Learning with Hidden Data, accepted in AAMAS 2016 (full paper). [paper]
 Yifeng Zeng, Prashant Doshi, Yingke Chen, Yinghui Pan, Hua Mao and Muthukumaran Chandrasekaran, Approximating Behavioral Equivalence for Scaling Solutions of I-DIDs, Knowledge and Information Systems (KAIS), Springer, 2015, in press. [article]
 Xia Qu and Prashant Doshi, Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability, in NIPS 2015. [paper]
 Dongho Kim, Mei Yuan, ChanMin Kim, Prashant Doshi, Roger Hill and Chi Thai, Robotics to Promote Elementary Education Pre-service Teachers' STEM Engagement, Learning, and Teaching, Journal of Computers & Education, Elsevier, 2015, in press.
 Xia Qu and Prashant Doshi, On the Role of Fairness and Limited Backward Induction in Sequential Bargaining Games: New Behavioral Models and Analyses, Annals of Mathematics and AI, Springer, 2015, in press. [article]
 Kedar Marathe and Prashant Doshi, Localization and Tracking under Extreme and Persistent Sensory Occlusion, in IROS 2015. [paper]
 Amir H Asiaee, Todd A Minning, Prashant Doshi and Rick L Tarleton, A Framework for Ontology-Based Question Answering with Application to Parasite Immunology, Journal of Biomedical Semantics, in press, 2015.
[12/21/15] Enrique Munoz de Cote (INAOE), Long Tran-Thanh (Southampton), Prashant Doshi and Chris Amato (UNH) will jointly organize a workshop on interactions with mixed-agent types at IJCAI 2016.
[12/21/15] Stefano Albrecht of UTA and Prashant Doshi will jointly give a tutorial on type-based multiagent systems at AAAI 2016.
[09/01/15] THINC lab starts a new research collaboration with TU Delft on Smart Energy Grids. Prof. Doshi and Will Richardson visit TU Delft and Doshi gives an invited talk on intelligent frameworks with applications to the smart grid.
[08/30/15] UGA and Toyota sign a collaborative research agreement. The PI at UGA is Prof. Prashant Doshi.
[06/30/15] A new high-quality wireless IP camera donated by CCTV Camera World and installed in the THINC lab allows roboticists to track and video record TurtleBots and Quadcopters during experimentation.
[06/15/15] Prof. Doshi gave seminars on generalizing IRL to real world applications at the University of Waterloo CPAMI institute in Canada and Ben Gurion University of the Negev in Israel.
[05/20/15] Junhuan Zhang, PhD from Kings College London joins the THINC lab as a postdoctoral associate. He will replace Yingke Chen who spent a successful year.