Cognitive AI Systems
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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 for constructing a long-term plan and reinforcement learning for resolving local conflicts.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 learning for resolving conflicts.MAPF-GPT-DDG
Public[IROS-2025] MAPF-GPT-DDG is a scalable decentralized multi-agent pathfinding (MAPF) solver based on imitation learning. It builds upon MAPF-GPT by introducing a novel fine-tuning method called Delta Data Generation (DDG) — a reward-free active learning approach that identifies and corrects failure cases in the policy.pogema
Public[ICLR-2025] POGEMA 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 to a variety of PO-MAPF settings.pogema-toolbox
Publicpogema-benchmark
PublicThis is an umbrella repository that contains links and information about all the tools and algorithms related to the POGEMA Benchmark.him-agent
PublicThe Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.IGOR
PublicRATE
PublicTransPath
PublicThis repository contains a deep learning-based approach for improving A* search efficiency on grid graphs. By learning instance-dependent heuristic proxies like correction factors and path probability, our method significantly reduces computational effort in obstacle-rich environments.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 policies for pathfinding in partially observable multi-agent environments. 🤖🛤️smm
PublicWaRP
PublicWaRP dataset includes labeled images of an industrial conveyor.skill-fusion
Public