Results 71 to 80 of about 13,931 (229)
ABSTRACT Managing chronic diabetes care is a major challenge faced by healthcare organizations because it requires resource commitment over a long duration, high levels of patient engagement in the care process, and the socioeconomic and racial diversity of the patient population significantly affect care outcomes.
Ujjal Kumar Mukherjee +2 more
wiley +1 more source
Word-Based POMDP Dialog Management via Hybrid Learning
Dialog management plays an important role in the task-oriented dialog system. Most of the previous works divide dialog management into state tracker and action selector.
Shuyu Lei, Xiaojie Wang, Caixia Yuan
doaj +1 more source
ABSTRACT Precision dosing aims to optimize and customize pharmacological treatment at the individual level. The integration of pharmacometric models with Reinforcement Learning (RL) algorithms is currently under investigation to support the personalization of adaptive dosing therapies.
Alessandro De Carlo +2 more
wiley +1 more source
Pilot Beam Sequence Design for Channel Estimation in Millimeter-Wave MIMO Systems: A POMDP Framework
In this paper, adaptive pilot beam sequence design for channel estimation in large millimeter-wave (mmWave) MIMO systems is considered. By exploiting the sparsity of mmWave MIMO channels with the virtual channel representation and imposing a Markovian ...
Kim, Donggun +3 more
core +1 more source
Abstract Gaining insights into pedestrian flow patterns in public spaces can greatly benefit decision‐making processes related to infrastructure planning. Interestingly, even pedestrians are unfamiliar with one another, they often follow others, drawing on positive information and engaging in a spontaneous collective behavior of pedestrians.
Jie Xu, Dengyu Xu, Jing Wu, Xiaowei Shi
wiley +1 more source
Technical Report: Distribution Temporal Logic: Combining Correctness with Quality of Estimation [PDF]
We present a new temporal logic called Distribution Temporal Logic (DTL) defined over predicates of belief states and hidden states of partially observable systems.
Belta, Calin +2 more
core
Anytime Point-Based Approximations for Large POMDPs
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics.
Gordon, G., Pineau, J., Thrun, S.
core +1 more source
The Role of Adaptation in Collective Human–AI Teaming
Abstract This paper explores a framework for defining artificial intelligence (AI) that adapts to individuals within a group, and discusses the technical challenges for collaborative AI systems that must work with different human partners. Collaborative AI is not one‐size‐fits‐all, and thus AI systems must tune their output based on each human partner ...
Michelle Zhao +2 more
wiley +1 more source
Selective Sensing and Access Strategy to Maximize Throughput in Cognitive Radio Sensor Network
This paper presents a selective spectrum sensing and access strategy in a cognitive radio sensor network (CRSN), in order to maximize the throughput of secondary user (SU) system.
Weijun Li +4 more
doaj +1 more source
Perseus: Randomized Point-based Value Iteration for POMDPs
Partially observable Markov decision processes (POMDPs) form an attractive and principled framework for agent planning under uncertainty. Point-based approximate techniques for POMDPs compute a policy based on a finite set of points collected in advance ...
Spaan, M. T. J., Vlassis, N.
core +1 more source

