Welcome to the website of THINC lab housed in the Computer Science department of the University of Georgia. The THINC lab was founded and is directed by Prof. Prashant Doshi since July 2010. It is a leading research laboratory in the department. Research in the lab is conducted in multiple areas including artificial intelligence, semantic Web and services-oriented computing.
Prashant Doshi
Dr. Prashant Doshi

Director, THINC Lab

About Us

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.

Recent Publications

[2017] Tomoki Nishi, Prashant Doshi and Danil Prokhorov, Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic, in ICML workshop on Machine Learning for Autonomous Vehicles 2017. [article]

[2017] Muthukumaran Chandrasekaran, Junhuan Zhang, Prashant Doshi and Yifeng Zeng, Robust Model Equivalence using Stochastic Bisimulation for N-Agent Interactive DIDs, in UAI 2017. [paper]

[2017] Ekhlas Sonu, Yingke Chen, and Prashant Doshi, "Decision-Theoretic Planning under Anonymity in Agent Populations", in JAIR, 2017. [article]

[2017] Tomoki Nishi, Prashant Doshi, Michael R. James and Danil Prokhorov, Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics, arXiv:1706.01077 [cs.AI]

[2017] Kenneth Bogert and Prashant Doshi, Scaling Expectation-Maximization for Inverse Reinforcement Learning under Occlusion, in AAMAS 2017. [paper]

[2017] Shervin Shahryari and Prashant Doshi, Inverse Reinforcement Learning under Noisy Observations (Extended Abstract), in AAMAS 2017. [abstract] [paper]

[2017] Sina Solaimanpour and Prashant Doshi, A Layered HMM for Predicting Motion of a Leader in Multi-Robot Settings, accepted in ICRA 2017.[paper][video]

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Latest News

[01/17/18] PhD student Saurabh Arora and Prof. Doshi will give a tutorial on Inverse Reinforcement Learning: Challenges, Methods and Progress at AAAI 2018.

[12/05/17] Press release: UGA researchers seek answer to personal hurricane evacuation decisions.

NSF Grant

[09/29/17] New NSF grant on modeling the decision making of individuals in impending disaster areas such as hurricane evacuation zones. Prof. Doshi (PI) will collaborate with Prof. Adam Goodie (Psychology-UGA) on this grant.

[06/03/17] Prof. Doshi delivered seminars on IRL for robotics at Singapore Management University and National Technical University of Singapore.

100 papers

[02/20/17] THINC lab researchers have published more than 100 articles and papers in top-tier journals and conferences in AI.

[02/20/17] MS student, Anuja Nagare, is selected to represent UGA at the national CRA-Women Grad Cohort Workshop. She will travel to Washington, DC to present her research.

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