Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
In this paper, a novel thermal-aware dynamic placement planner for reconfigurable systems is presented, which targets transient temperature reduction. Rather than solving time-...
Shahin Golshan, Eli Bozorgzadeh, Benjamin Carri&oa...
This paper presents a novel approach for individual agent’s motion simulation in real-time virtual environments. In our model, we focus on addressing two problems: 1) the control...
— In this paper, we concentrate on opportunistic scheduling for multicast information. We pose the problem as a multicast throughput optimization problem. As a solution we presen...
Abstract— Tightly-coupled multi-agent systems such as modular robots frequently exhibit properties of interest that span multiple modules. These properties cannot easily be detec...
Michael DeRosa, Jason Campbell, Padmanabhan Pillai...