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Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems.

, , , , , and . CDC, page 2996-3003. IEEE, (2021)

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Deep Reinforcement Learning amidst Continual Structured Non-Stationarity., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 11393-11403. PMLR, (2021)Practical Tradeoffs between Memory, Compute, and Performance in Learned Optimizers., , , , and . CoLLAs, volume 199 of Proceedings of Machine Learning Research, page 142-164. PMLR, (2022)Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning., , and . ICRA, page 7786-7793. IEEE, (2023)Bayesian Embeddings for Few-Shot Open World Recognition., , , , , and . CoRR, (2021)Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems., , , , , and . CDC, page 2996-3003. IEEE, (2021)Learning Sampling Distributions for Robot Motion Planning., , and . ICRA, page 7087-7094. IEEE, (2018)BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning., , , , and . ICRA, page 15-21. IEEE, (2019)Continuous Meta-Learning without Tasks., , , and . CoRR, (2019)Learning Sampling Distributions for Robot Motion Planning., , and . CoRR, (2017)Implementation and Evaluation of a Negation Tagger in a Pipeline-based System for Information Extraction from Pathology Reports., , , , , , , , and . MedInfo, volume 107 of Studies in Health Technology and Informatics, page 663-667. IOS Press, (2004)