Multiagent Cooperative Learning Strategies for Pursuit-Evasion Games

<div class="floats-full-page floats-full-page-other"><h2>Table 2</h2><div class="floats-full-page-caption">Average number of capture steps for different movement types.</div><div class="floats-full-page-content"><table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr /></td></tr><tr class="thead"><td align="left"> </td><td align="center">Grid size</td><td align="center">Clockwise movement <br />(steps)</td><td align="center">Random clockwise and counterclockwise movement <br />(steps)</td></tr><tr><td class="thead-hr" colspan="4"><hr /></td></tr><tr><td align="left">Hysteretic Q-Learning</td><td align="center">12 * 12</td><td align="center">56</td><td align="center">69</td></tr><tr><td align="left">RL-Fusing</td><td align="center">12 *  12</td><td align="center">48</td><td align="center">56</td></tr><tr><td align="left">The proposed approach</td><td align="center">12 * 12</td><td align="center">26</td><td align="center">32</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 2 | Multiagent Cooperative Learning Strategies for Pursuit-Evasion Games

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Table 2: Multiagent Cooperative Learning Strategies for Pursuit-Evasion Games

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Table 2

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