Yash Satsangi

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  • Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning, Yash Satsangi, Paniz Behboudian AAMAS-ALA Workshop, 2023 (pdf)
  • Learning to beo Cautious, Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling, AAMAS-ALA Workshop 2023 ArXiv
  • Ledgit: A service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning, Xiaoying Zhi, Yash Satsangi, Sean Moran, Shaltiel Eloul, Conference on Information and Knowledge Management (CIKM), 2022 (pdf)
  • Topical: Learning Repository Embeddings from Source Code using Attention, Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean Moran, 2022 (pdf)
  • Useful Policy invariant explicit shaping: an efficient alternative to reward shaping, Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling, Neural Computing and Applications, 2022 (pdf)
  • 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)