Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Farzad Kamrani"'
Publikováno v:
ICMLA
Imitation learning is a promising approach for training autonomous vehicles, where a set of state-action pairs from human demonstrated driving is used as training data in a supervised learning manner. Dataset Aggregation (DAgger) is a common imitatio
Publikováno v:
Neurocomputing. 314:409-428
There has always been a need to solve real-life large-scale problems, suchas efficiently allocating limited resources, and other complex and conflicting situations related to combinatorial optimization genre. A class of combinato- rial optimization p
Publikováno v:
SMC
Deep learning techniques are able to process and learn from data (e.g., images, video, audio) without explicit feature extraction. As a result, not only is the manual workload to build such models reduced, but the performance and accuracy of these mo
Publikováno v:
SMC
This paper provides an example of using genetic programming for engendering computational creativity in computer generated forces, i.e. simulated entities used to represent own, opponent and neutral forces in military training or decision support app
Publikováno v:
SMC
This paper presents a data-driven approach towards the modeling of agent behaviors in a full-fledged, commercial off-the-shelf simulation milieu for tactical military training. The modeling approach employs machine learning to identify behavioral rul
Publikováno v:
SIMULATION. 88:852-869
The Assignment Problem is a classical problem in the field of combinatorial optimization, having a wide range of applications in a variety of contexts. In general terms, the Assignment Problem consists of determining the best assignment of tasks to a
Publikováno v:
GECCO (Companion)
A highly interesting but not thoroughly addressed optimization problem is a variation of the Assignment Problem (AP) where tasks are assigned to groups of collaborating agents (teams). In this paper, we address this class of AP as a bi-objective opti
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642450365
AsiaSim
AsiaSim
In this paper, we consider the problem of rescheduling human resources in a battalion where new activities are assigned to the battalion by higher headquarters, requiring modification of an existing original schedule. The problem is modeled as a mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8193abc3b9c8ba3f8dd18bc43b2d1a6e
https://doi.org/10.1007/978-3-642-45037-2_9
https://doi.org/10.1007/978-3-642-45037-2_9
Publikováno v:
SMC
In this paper, we present a model for estimatingthe performance of a team of agents, based on the capabilities of the agents and importance of these capabilities for the task. Performance of a team is assumed to be the sum of contributions of individ
Publikováno v:
CISched
The classic task assignment problem (AP) assigns m agents to n tasks, where each task is assigned to exactly one agent. This problem and many of its variations, including the case where a task is assigned to a group of agents working independently, h