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RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments.

S. Goel, Y. Shukla, V. Sarathy, M. Scheutz, and J. Sinapov. ICDL, page 15-22. IEEE, (2022)

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Nidamboor Vasanth Rao

Other publications of authors with the same name

The MacGyver Test - A Framework for Evaluating Machine Resourcefulness and Creative Problem Solving.V. Sarathy, and M. Scheutz. CoRR, (2017)When Exceptions are the Norm: Exploring the Role of Consent in HRI.V. Sarathy, T. Arnold, and M. Scheutz. CoRR, (2019)A Logic-Based Computational Framework for Inferring Cognitive Affordances.V. Sarathy, and M. Scheutz. IEEE Trans. Cogn. Dev. Syst., 10 (1): 26-43 (2018)A Generalized Framework for Detecting Anomalies in Real-Time Using Contextual Information.E. Gizzi, L. Vie, M. Scheutz, V. Sarathy, and J. Sinapov. MRC@IJCAI, volume 2134 of CEUR Workshop Proceedings, page 1-7. CEUR-WS.org, (2018)LgTS: Dynamic Task Sampling using LLM-generated Sub-Goals for Reinforcement Learning Agents.Y. Shukla, W. Gao, V. Sarathy, A. Velasquez, R. Wright, and J. Sinapov. AAMAS, page 1736-1744. ACM, (2024)Recognizing Value Resonance with Resonance-Tuned RoBERTa Task Definition, Experimental Validation, and Robust Modeling.N. Benkler, S. Friedman, S. Schmer-Galunder, D. Mosaphir, R. Goldman, R. Wheelock, V. Sarathy, P. Kantharaju, and M. McLure. LREC/COLING, page 13688-13698. ELRA and ICCL, (2024)SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning.V. Sarathy, D. Kasenberg, S. Goel, J. Sinapov, and M. Scheutz. CoRR, (2020)Cultural Value Resonance in Folktales: A Transformer-Based Analysis with the World Value Corpus.N. Benkler, S. Friedman, S. Schmer-Galunder, D. Mosaphir, V. Sarathy, P. Kantharaju, M. McLure, and R. Goldman. SBP-BRiMS, volume 13558 of Lecture Notes in Computer Science, page 209-218. Springer, (2022)Mental Representations and Computational Modeling of Context-Specific Human Norm Systems.V. Sarathy, M. Scheutz, Y. Kenett, M. Allaham, J. Austerweil, and B. Malle. CogSci, cognitivesciencesociety.org, (2017)Inferring Higher-Order Affordances for more Natural Human-Robot Collaboration.V. Sarathy. HRI, page 637-638. IEEE/ACM, (2016)

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Disambiguation of "Sarathy, Vasanth"

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RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments.

Please choose a person to relate this publication to

Nidamboor Vasanth Rao

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments.

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Nidamboor Vasanth Rao

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RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments.