Combining Multiple Strategies for Multiarmed Bandit Problems and Asymptotic Optimality

<div>Percentage of selections of the best strategy of (tuned) <svg height="9.63795pt" id="M315" style="vertical-align:-3.42779pt" version="1.1" viewbox="-0.0498162 -6.21016 9.32693 9.63795" width="9.32693pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0135,0,0,-0.0135,0,0)"><path d="M401 397C401 420 368 448 302 448C245 448 169 416 122 377C62 327 23 254 23 169C23 45 83 -12 181 -12C252 -12 323 29 374 85L358 107C305 62 257 43 210 43C147 43 110 98 110 189V214L313 208L321 256L115 250C132 342 190 405 253 405C291 405 323 389 346 360C356 348 364 348 377 357C392 367 401 384 401 397Z" id="g113-227"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="424" vert-adv-y="424"></glyph.data></g><g transform="matrix(.0095,0,0,-0.0095,5.406,3.264)"><path d="M329 433H203L239 587L230 596L147 534L123 433H57L30 395L34 388H115L61 129C37 16 59 -12 85 -12C147 -12 222 58 260 98L241 125C212 95 160 62 144 62C132 62 127 71 138 126L192 386L305 394L329 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Journal of Control Science and Engineering

fig1

Figure 1

Figure 1: Combining Multiple Strategies for Multiarmed Bandit Problems and Asymptotic Optimality 