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Ji-Cai Wang

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Conference Sep 2026

Curriculum-guided decentralized deep Q-network for multi-agent pathfinding under intermittent obstacles

Multi-agent pathfinding (MAPF) requires multiple agents to reach assigned goals while avoiding vertex, edge, and intermittent-obstacle conflicts in a shared workspace. Learning-based MAPF is attractive for online decision-making, but fully decentralized reinforcement learning remains vulnerable to sparse rewards, non-s...

Ji-Cai Wang, Yu-Ting Guo, Meng-Yao Zhang et al. · 0 citations

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