News
| Sep 05, 2024 | I’m excited to announce our recent preprint titled MAPF-GPT, a GPT-like model designed for MAPF problems. It is trained using pure imitation learning on trajectories generated by LaCAM. MAPF-GPT performs exceptionally well on unseen instances and outperforms state-of-the-art learnable solvers such as SCRIMP and DCC. Here are the links to the preprint on arXiv and the open-source code. |
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| Jul 15, 2024 | Happy to announce that our paper Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments has been accepted to ECAI 2024, arxiv. |
| Jan 18, 2024 | I’m thrilled to announce that two of my submissions to AAAI 2024 have been accepted. The paper titled “Learning to Follow: Lifelong Multi-agent Pathfinding with Decentralized Replanning” will be presented as an oral presentation, and the paper “Decentralized Monte Carlo Tree Search for Partially Observable Multi-agent Pathfinding” will be showcased in a poster session. |