Yash Satsangi

I am an assistant professor at the department of cognitive science and artificial intelligence at the Tilburg University. Before that I was a post-doctoral fellow at the RLAI lab at University of Alberta with Mike Bowling and Martha White. I completed my PhD at the University of Amsterdam, where I was part of the AMLab and Whirl@Oxford under the supervision of Shimon Whiteson and Frans Oliehoek. My research interests lie in the field of machine learning, statistics and decision-theoretic planning. I am interested in developing new methods and algorithms that are computationally efficient and enable an agent to behave intelligently to accomplish certain tasks.

Currently, I am working on developing methods for active perception for tracking people in multi-camera networks. Consequently, I am involved and interested in (deep) reinforcement learning, submodular optimization and information theory. I am also interested in applying learning/planning algorithms for developing systems that can help humans and computers to collaborate to accomplish tasks that are typically considered challenging.

Before starting my Phd program, I worked as a senior developer at Capital One Labs. I recieved a Master of Science degree in Electrical Engineering from Columbia University in 2012. I interned with eBay during the summer of 2011. Before that, I received a Bachelor of Technology degree in Electronics Engineering from VNIT, Nagpur in 2010.

Publications

• Useful Policy Invariant Shaping from Arbitrary Advice, Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling, AAMAS-ALA workshop, 2020 (pdf)
• Maximizing Information Gain in Partially Observable Environments via Prediction Rewards, Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White, AAMAS 2020 (pdf)
• Active Perception for Person Tracking, Ph.D. thesis, University of Amsterdam, 2019 (pdf)
• Exploiting Submodular Value Functions for Scaling Up Active Perception, Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs Spaan, Autonomous Robots, 2018 (pdf)
• Real-Time Resource Allocation for Tracking Systems, Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma, UAI 2017 (pdf)
• PAC Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection, Yash Satsangi, Shimon Whiteson and Frans A. Oliehoek, IJCAI 2016 (pdf)
• Probably Approximately Correct Greedy Maximization (Extended Abstract), Yash Satsangi, Shimon Whiteson and Frans A. Oliehoek, AAMAS 2016 (pdf)
• Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection, Yash Satsangi, Shimon Whiteson, and Frans A. Oliehoek, AAAI 2015 (pdf)
• An analysis of Piecewise-Linear and Convex Value Function for Active Perception POMDPs, Yash Satsangi, Shimon Whiteson, and Matthijs T. J. Spaan, IAS Technical Report, University of Amsterdam (pdf)
• Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection:Extended Version, Yash Satsangi, Shimon Whiteson, and Frans A. Oliehoek, IAS Technical Report, University of Amsterdam (pdf)