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The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts.

, , , , , and . CoRR, (2021)

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The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts., , , , , and . AAMAS, page 1804-1808. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation., , , , and . IROS, page 7333-7340. (2023)A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies., , , , and . ICRA, page 8772-8778. IEEE, (2022)Language-Conditioned Offline RL for Multi-Robot Navigation., , , and . CoRR, (2024)The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts., , , , , and . CoRR, (2021)Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation., , and . RoboCup, volume 13132 of Lecture Notes in Computer Science, page 127-139. Springer, (2021)The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning., and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 1394-1414. PMLR, (2020)Learning to Navigate using Visual Sensor Networks., , , , and . CoRR, (2022)Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication., , and . CoRR, (2020)VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning., , , and . DARS, volume 28 of Springer Proceedings in Advanced Robotics, page 42-56. Springer, (2022)