ORION introduces an option-critic RL method with shared graph encoding and dual-stage cooperation for decentralized multi-agent navigation and exploration in partially known environments, scaling to 10 robots with real-world validation.
Frontier-based exploration using multiple robots,
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ORION: Option-Regularized Deep Reinforcement Learning for Cooperative Multi-Agent Online Navigation
ORION introduces an option-critic RL method with shared graph encoding and dual-stage cooperation for decentralized multi-agent navigation and exploration in partially known environments, scaling to 10 robots with real-world validation.