We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
This paper presents a study of LO selfmixing and RF gain control issues in direct conversion receivers. In cellular systems, that use continuous time frequency duplexing, these ca...
Monte Carlo Tree Search has given computer go a significant boost in strength the past few years, but progress seems to have slowed, and once again we have to ask ourselves how can...
The testing time for a system-on-chip (SOC) is determined to a large extent by the design of test wrappers and the test access mechanism (TAM). Wrapper/TAM co-optimization is ther...
Vikram Iyengar, Krishnendu Chakrabarty, Erik Jan M...
Continuous action systems (CAS) is a formalism intended for modeling hybrid systems (systems that combine discrete control with continuous behavior), and proving properties about ...
Ralph-Johan Back, Cristina Cerschi Seceleanu, Jan ...