EAQR: A Multiagent Q-Learning Algorithm for Coordination of Multiple Agents

<div>A distributed sensor network with eight sensors <svg height="7.35473pt" id="M366" style="vertical-align:-0.3499303pt" version="1.1" viewbox="-0.0498162 -7.0048 7.75925 7.35473" width="7.75925pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M573 255C573 407 448 530 294 530S15 407 15 255S140 -20 294 -20S573 103 573 255ZM521 255C521 201 503 151 472 111L331 254L472 398C503 359 521 309 521 255ZM436 436L294 291L152 436C191 467 241 486 294 486S397 467 436 436ZM257 254L116 111C85 151 67 201 67 255S85 359 116 398L257 254ZM435 74C396 43 347 24 294 24S192 43 153 74L294 217L435 74Z" id="g117-70"></path></g></svg> and two targets ●.</div>

Complexity

fig12

Figure 12

Figure 12: EAQR: A Multiagent Q-Learning Algorithm for Coordination of Multiple Agents 