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Multi-agent learning has been widely used to enable multiple agents to autonomously find solutions for complex tasks such as robotic swarm control, social order maintenance, and transportation management. To date, various multi-agent learning approaches have been developed with various capabilities such as having teaching skills and utilising collective intelligence. Despite the progress, there are still various research challenges to be addressed to advance the usage of multi-agent learning. Specifically, this thesis tries to address three challenges, which are: 1. to accelerate multi-agent l...

Society effort. i also want to thank the representatives from the private sector �*s who are dedicating themselves to the climate action efforts we're all making. that leadership together with action advice has been essential in the united states. that's why despite the previous administration pulling us out of the paris agreement, and refusing to even acknowledge there is a climate crisis, we still brought down emissions. i also want to acknowledge that passion and power with young people who are doing such vital work to remind us of our moral obligation to future generations. as i said yes...