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Multimodal embodied attribute learning by robots for object-centric action policies.

, , , , , and . Auton. Robots, 47 (5): 505-528 (June 2023)

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Opportunistic Active Learning for Grounding Natural Language Descriptions., , , , , and . CoRL, volume 78 of Proceedings of Machine Learning Research, page 67-76. PMLR, (2017)Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games., , and . BRACIS, page 479-484. IEEE, (2019)Simultaneous Calibration of Action and Sensor Models on a Mobile Robot., and . ICRA, page 4563-4568. IEEE, (2005)Modeling uncertainty in leading ad hoc teams., , and . AAMAS, page 397-404. IFAAMAS/ACM, (2014)Reinforcement learning from simultaneous human and MDP reward., and . AAMAS, page 475-482. IFAAMAS, (2012)Design Principles for Creating Human-Shapable Agents., , and . AAAI Spring Symposium: Agents that Learn from Human Teachers, page 79-86. AAAI, (2009)Multirobot Symbolic Planning under Temporal Uncertainty., , , and . AAMAS, page 501-510. ACM, (2017)Q-Learning.. Encyclopedia of Machine Learning and Data Mining, Springer, (2017)Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions., , , , and . J. Artif. Intell. Res., (2003)Approximately Orchestrated Routing and Transportation Analyzer: Large-scale traffic simulation for autonomous vehicles., , , and . ITSC, page 334-339. IEEE, (2012)