Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent

no code implementations • 26 Mar 2024 • Paula Stocco, Suhas Chundi, Arec Jamgochian, Mykel J. Kochenderfer

Lagrangian-guided Monte Carlo tree search with global dual ascent has been applied to solve large constrained partially observable Markov decision processes (CPOMDPs) online.

Decision Making

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning

1 code implementation • 12 Sep 2023 • Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel Kochenderfer, Chiho Choi, Behzad Dariush

The widespread adoption of commercial autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) may largely depend on their acceptance by society, for which their perceived trustworthiness and interpretability to riders are crucial.

Autonomous Vehicles Question Answering +2

Improving debris flow evacuation alerts in Taiwan using machine learning

no code implementations • 27 Aug 2022 • Yi-Lin Tsai, Jeremy Irvin, Suhas Chundi, Andrew Y. Ng, Christopher B. Field, Peter K. Kitanidis

Towards improving this system, we implemented five machine learning models that input historical rainfall data and predict whether a debris flow will occur within a selected time.