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Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
A two-level hierarchical multi-agent reinforcement learning algorithm with unsupervised skill discovery for fully cooperative multi-agent settings. -
SelectAugment
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, ImageNet, CUB-200-2011, and Stanford Dogs datasets. -
StarCraft II with Human Expertise in Subgoals Selection
StarCraft II minigames dataset used for hierarchical reinforcement learning with human expertise in subgoal selection
