Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
arXiv: Learning, 2019.
Heterogeneous knowledge naturally arises among different agents in cooperative multiagent reinforcement learning. As such, learning can be greatly improved if agents can effectively pass their knowledge on to other agents. Existing work has demonstrated that peer-to-peer knowledge transfer, a process referred to as action advising, improv...More
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