SMART is a physics-engine-based, scalable testbed for realistic evaluation of multi-agent path finding algorithms with an Action Dependency Graph integration framework.
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Presents MAEnvs4VRP, a modular PyTorch library providing unified multi-agent environments for multiple variants of vehicle routing problems following the AEC model.
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Advancing MAPF Toward the Real World: A Scalable Multi-Agent Realistic Testbed (SMART)
SMART is a physics-engine-based, scalable testbed for realistic evaluation of multi-agent path finding algorithms with an Action Dependency Graph integration framework.
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Multi-Agent Environments for Vehicle Routing Problems
Presents MAEnvs4VRP, a modular PyTorch library providing unified multi-agent environments for multiple variants of vehicle routing problems following the AEC model.