A path planning scheme for AUV flock-based Internet-of-Underwater-Things systems to enable transparent and smart ocean
As an emergent Internet-of-Underwater-Things (IoUT) system, the underwater wireless
networks (UWNs), especially the autonomous underwater vehicle (AUV)-based UWNs are …
networks (UWNs), especially the autonomous underwater vehicle (AUV)-based UWNs are …
Distributed uav swarm formation control via object-focused, multi-objective sarsa
We present a novel multi-objective reinforcement learning formulation of the decentralized
formation control problem for swarms of fixed-wing UAVs based on a relative state-space …
formation control problem for swarms of fixed-wing UAVs based on a relative state-space …
Implementation of decentralized reinforcement learning-based multi-quadrotor flocking
Enabling coordinated motion of multiple quadrotors is an active area of research in the field
of small unmanned aerial vehicles (sUAVs). While there are many techniques found in the …
of small unmanned aerial vehicles (sUAVs). While there are many techniques found in the …
Cooperation and competition: Flocking with evolutionary multi-agent reinforcement learning
Y Guo, X Xie, R Zhao, C Zhu, J Yin, H Long - International Conference on …, 2022 - Springer
Flocking is a very challenging problem in a multi-agent system; traditional flocking methods
also require complete knowledge of the environment and a precise model for control. In this …
also require complete knowledge of the environment and a precise model for control. In this …
CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning
CraftEnv is a flexible Collective Robotic Construction (CRC) environment for Multi-Agent
Reinforcement Learning (MARL) research. CraftEnv can be used to study how artificial …
Reinforcement Learning (MARL) research. CraftEnv can be used to study how artificial …
An Algorithm of Reinforcement Learning for Maneuvering Parameter Self‐Tuning Applying in Satellite Cluster
Satellite cluster is a type of artificial cluster, which is attracting wide attention at present.
Although the traditional empirical parameter method (TEPM) has the potential to deal with …
Although the traditional empirical parameter method (TEPM) has the potential to deal with …
Adapting the predator-prey game theoretic environment to army tactical edge scenarios with computational multiagent systems
The historical origins of the game theoretic predator-prey pursuit problem can be traced
back to Benda, et al., 1985 [1]. Their work adapted the predator-prey ecology problem into a …
back to Benda, et al., 1985 [1]. Their work adapted the predator-prey ecology problem into a …
[图书][B] Outdoor Operations of Multiple Quadrotors in Windy Environment
D Lobo - 2022 - search.proquest.com
Coordinated multiple small unmanned aerial vehicles (sUAVs) offer several advantages
over a single sUAV platform. These advantages include improved task efficiency, reduced …
over a single sUAV platform. These advantages include improved task efficiency, reduced …