Papers in Preprint
2024
Ryan Grant, Adam Goodie, Prashant Doshi, "The Human-Machine Teammate Inventory (HMTI): Scale Development and Validation", in PsyArXiv [Paper]
2023
Keyang He, Prashant Doshi, Bikramjit Banerjee, "Latent Interactive A2C for Improved RL in Open Many-Agent Systems", in arXiv:2305.05159 [Paper]
Latest Publications
2024
Aditya Shinde, Prashant Doshi, "Modeling Cognitive Biases in Decision-Theoretic Planning for Active Cyber Deception", in AAMAS Conference [Paper]
2023
Keyang He, Prashant Doshi, Bikramjit Banerjee, "Modeling and Reinforcement Learning in Partially Observable Many-Agent Systems", in Journal of Autonomous Agents and Multi-Agent Systems [Article]
2023
Ehsan Asali, Prashant Doshi, Jin Sun, "Multi-View State-Action Recognition for Robust and Deployable Trajectory Generation", in Workshop on Reliable and Deployable Learning Based Robotic Systems, CoRL [Paper] [Presentation]
2023
Adam Eck, Leen-Kiat Soh, Prashant Doshi, "Decision Making in Open Agent Systems", in AI Magazine [Paper] [Presentation]
2023
Hannah Tawashy, Prashant Doshi, "Recurrent Sum-Product-Max Networks for Multi-Agent Decision Making: A Perspective", in MSDM 2023: 11th Workshop on Multi-Agent Sequential Decision-Making Under Uncertainty (MSDM), AAMAS [Paper] [Presentation]
2023
Prasanth Sengadu Suresh, Yikang Gui, Prashant Doshi, "Dec-AIRL: Decentralized Adversarial IRL for Human-Robot Teaming", in Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) [Paper] [Presentation]
2022
Saurabh Arora, Bikramjit Banerjee, Prashant Doshi, "Online Inverse Reinforcement Learning with Learned Observation Model", in Conference on Robot Learning (CoRL) [Paper] [Supplement]
2022
Swaraj Pawar, Prashant Doshi, "Anytime Learning of Sum-Product and Sum-Product-Max Networks", in International Conference on Probabilistic Graphical Models (PGM) [Paper] [Supplement] [Presentation]
Latest News
02/01/2024 Prof. Doshi is a Co-PI on two internal grants: a UGA-wide Presidential Interdisciplinary seed grant for studying applied ethics in the age of AI and a seed grant from IIPA for robotic sortation of fertile and infertile eggs. THINC Lab is excited to be working with so many faculty from other disciplines!
01/01/2024 Prof. Doshi is elected to AAAI's Senior Member status for significant contributions to agent-based decision making in multiagent settings.
12/21/2023 Prof. Doshi visits Shenzhen University and gives an invited seminar on Decision Making in Open Agent Systems at SZU.
10/13/2023 THINC Lab researchers and startup partner InversAI undertook a field visit to A&M Farms in the Vidalia region for on-site R&D of robotic produce processing.
10/05/2023 THINC Lab hosted Prof. Pascal Poupart from University of Waterloo who gave a colloquium on inverse constraint learning and held research discussions with lab members across two days.
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