Many constrained sequential decision-making processes such as safe AV navigation, wireless network control, caching, cloud computing, etc., can be cast as Constrained Markov Decision Processes (CMDP). Reinforcement Learning (RL) algorithms […]
Abstract: The explicit incorporation of task-specific inductive biases through symmetry has emerged as a crucial design precept in the development of high-performance machine learning models. Symmetry-aware neural networks, such as […]
Autonomous aerial robots today are capable of safely navigating through cluttered, GPS-denied environments while constructing an accurate map that captures geometric features such as points, lines, and planes. Such maps […]
This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Large-scale generative visual models have made content creation as little effort as […]
Abstract: A chemical process transforms feed materials into desired products, necessitating the exchange of heat and work between the process and the environment. Optimizing process performance requires careful selection of […]
