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AIRI-Institute/pogema
AIRI-Institute/pogema PublicPOGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored…
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AIRI-Institute/learn-to-follow
AIRI-Institute/learn-to-follow Public[AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm f…
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AIRI-Institute/mats-lp
AIRI-Institute/mats-lp Public[AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a combination of Monte Carlo Tree Search and reinforcement le…
C++ 17
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AIRI-Institute/when-to-switch
AIRI-Institute/when-to-switch Public"When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-planning, reinforcement learning techniques, and three mixed polici…
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pathfinding-in-stochastic-envs
pathfinding-in-stochastic-envs PublicSource code for Pathfinding in Stochastic Environments paper.
Python 12
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