Median Win Rate: 94.03Average Score: 20.94
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Multi-agent Reinforcement Learning
The target of Multi-agent Reinforcement Learning is to solve complex problems by integrating multiple agents that focus on different sub-tasks. In general, there are two types of multi-agent systems: independent and cooperative systems.
<span class="description-source">Source: Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports </span>
논문
Median Win Rate: 90.62Average Score: 20.27
Median Win Rate: 2
Median Win Rate: 100
Median Win Rate: 2
Average Reward: 39
Median Win Rate: 15
final agent reward: -14