[PDF][PDF] Multiagent reinforcement learning for multi-robot systems: A survey
Multiagent reinforcement learning for multi-robot systems is a challenging issue in both
robotics and artificial intelligence. With the ever increasing interests in theoretical …
robotics and artificial intelligence. With the ever increasing interests in theoretical …
[BUCH][B] 1. soccer robotics
Soccer robotics is an emerging field that combines artificial intelligence and mobile robotics
with the popular sport of soccer. In essence, it studies how mobile robots can be built and …
with the popular sport of soccer. In essence, it studies how mobile robots can be built and …
Toward competitive multi-agents in Polo game based on reinforcement learning
Z Movahedi, A Bastanfard - Multimedia Tools and Applications, 2021 - Springer
The learning of agents in a competitive space such as a game is a challenging task. The aim
of the proposed research is to improve the reinforcement learning techniques in a …
of the proposed research is to improve the reinforcement learning techniques in a …
Application of evolutionary artificial potential field in robot soccer system
Evolutionary artificial potential field (EAPF) functions are utilized for mobile robot navigation
in a microrobot soccer (MiroSot) environment. In a micro-robot soccer system the robots are …
in a microrobot soccer (MiroSot) environment. In a micro-robot soccer system the robots are …
AI and SAR approaches for predicting chemical carcinogenicity: survey and status report
AM Richard, R Benigni - 2002 - Taylor & Francis
A wide variety of artificial intelligence (AI) and structure-activity relationship (SAR)
approaches have been applied to tackling the general problem of predicting rodent …
approaches have been applied to tackling the general problem of predicting rodent …
Learning Heterogeneous Multi-Agent Allocations for Ergodic Search
Information-based coverage directs robots to move over an area to optimize a pre-defined
objective function based on some measure of information. Our prior work determined that …
objective function based on some measure of information. Our prior work determined that …
Application of reinforcement learning in robot soccer
Y Duan, Q Liu, XH Xu - Engineering Applications of Artificial Intelligence, 2007 - Elsevier
The robot soccer game has been proposed as a benchmark problem for the artificial
intelligence and robotic researches. Decision-making system is the most important part of …
intelligence and robotic researches. Decision-making system is the most important part of …
Identification of probabilistic approaches and map-based navigation in motion planning for mobile robots
B Madhevan, M Sreekumar - Sādhanā, 2018 - Springer
Robot motion planning (RMP) develops a precise path between start and goal points for
mobile robots in an unknown environment. RMP is a complex task when it needs to be …
mobile robots in an unknown environment. RMP is a complex task when it needs to be …
Evolutionary programming-based univector field navigation method for past mobile robots
Most of navigation techniques with obstacle avoidance do not consider the robot orientation
at the target position. These techniques deal with the robot position only and are …
at the target position. These techniques deal with the robot position only and are …
[HTML][HTML] Fuzzy-probabilistic multi agent system for breast cancer risk assessment and insurance premium assignment
In this paper, we present an agent-based system for distributed risk assessment of breast
cancer development employing fuzzy and probabilistic computing. The proposed fuzzy multi …
cancer development employing fuzzy and probabilistic computing. The proposed fuzzy multi …