A centralized HRL planner with HTAN, multi-stage curricula, and counterfactual baseline scales multi-robot task planning to 200 robots and 1000 racks on unlearned maps in RMFS.
Robust task scheduling for heterogeneous robot teams under capability uncertainty,
2 Pith papers cite this work. Polarity classification is still indexing.
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2024 2verdicts
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Introduces DGBA for submodular task allocation in MAS under q-independence constraints, claiming polynomial-time feasibility with approximation guarantees and better performance than benchmarks in simulations.
citing papers explorer
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Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning
A centralized HRL planner with HTAN, multi-stage curricula, and counterfactual baseline scales multi-robot task planning to 200 robots and 1000 racks on unlearned maps in RMFS.
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Distributed Task Allocation for Multi-Agent Systems: A Submodular Optimization Approach
Introduces DGBA for submodular task allocation in MAS under q-independence constraints, claiming polynomial-time feasibility with approximation guarantees and better performance than benchmarks in simulations.