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Diffusion models can supercharge reinforcement learning for online 3D bin packing, achieving significantly better packing density than existing DRL approaches.
Heterogeneous robot teams can now cooperate more efficiently in partially observable environments thanks to a new intention-guided RL approach that doesn't require prior knowledge of robot capabilities.
