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and rapidly changing environments. Developing self-supervised, lifelong learning systems that adapt to open-world conditions remains a pressing challenge.

Multi-robot coordination and decentralization

Scaling robot systems raises thorny issues in coordination, safety, and communication. In multi-agent navigation, challenges like deadlocks, selfish behaviors, and sample inefficiencies emerge. Innovations such as dividing planning into sub-problems, combining RL with imitation learning, hybrid centralized-decentralized

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