2 papers
cs.LG2025
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
Mark Deutel, Georgios Kontes, Christopher Mutschler +1
Deploying deep neural networks (DNNs) on microcontrollers (TinyML) is a common trend to process the increasing amount of sensor data generated at the edge, but in practice, resourc…
cs.LG2024
C-MCTS: Safe Planning with Monte Carlo Tree Search
Dinesh Parthasarathy, Georgios Kontes, Axel Plinge +1
The Constrained Markov Decision Process (CMDP) formulation allows to solve safety-critical decision making tasks that are subject to constraints. While CMDPs have been extensively…