Global ETD Search

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Showing 1 to 5 of 5 for “"Multi-Agent Path Finding"”.

  1. Multi-Agent Path Finding Per Partes: Automatic Warehouses

    … a new partitioning method for the online Multi-Agent Pickup and Delivery (MAPD) problem in a large automatic warehouse. The method divides the workspace into independent regions and introduces transfer zones as controlled hand-off points for tasks spanning multiple regions. Agents operate …

    charles-prague Repository record for Multi-Agent Path Finding Per Partes: Automatic Warehouses (opens in a new tab)

  2. Optimizing Priority-Based Search for Lifelong Multi-Agent Path Finding

    The lifelong Multi-Agent Path Finding (MAPF) problem requires planning collision-free trajectories for agents operating continuously in dynamic environments. Traditional solvers such as Priority-Based Search (PBS) use fixed branching heuristics, which can be inefficient in high-congestion …

    mit Repository record for Optimizing Priority-Based Search for Lifelong Multi-Agent Path Finding (opens in a new tab)

  3. Subdimensional expansion method for multi-agent path finding with long narrow corridors

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-08-01

    uiuc Repository record for Subdimensional expansion method for multi-agent path finding with long narrow corridors (opens in a new tab)

  4. Towards Learning-guided Search for Coordination of Multi-agent Transportation at Scale

    … challenges? In this thesis, I highlight multiple levels of decision-making in large-scale transportation problems, ranging from assignment of tasks to collision-free path/motion planning and everything in between (e.g. order of goals, routing, order of crossing, lane changing, continuous …

    mit Repository record for Towards Learning-guided Search for Coordination of Multi-agent Transportation at Scale (opens in a new tab)

  5. Solving General Game Playing with Incomplete Information Problem using Iterative Tree Search and Language Learning

    … an experiment using GLTS by providing it with a Multi-Agent Path Finding with Destination Uncertainty problem. The GLTS algorithm successfully discovers the desired strategies by utilising the implicit communication among agents.

    unsw Repository record for Solving General Game Playing with Incomplete Information Problem using Iterative Tree Search and Language Learning (opens in a new tab)