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Leveraging Language to Learn Program Abstractions and Search Heuristics.

, , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 11193-11204. PMLR, (2021)

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Guiding Pretraining in Reinforcement Learning with Large Language Models., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 8657-8677. PMLR, (2023)Leveraging Language to Learn Program Abstractions and Search Heuristics., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 11193-11204. PMLR, (2021)A Generative Model of Vector Space Semantics., and . CVSM@ACL, page 91-99. Association for Computational Linguistics, (2013)Unsupervised Transcription of Piano Music., , and . NIPS, page 1538-1546. (2014)Teachable Reinforcement Learning via Advice Distillation., , , , and . NeurIPS, page 6920-6933. (2021)On the Accuracy of Self-Normalized Log-Linear Models., , , and . NIPS, page 1783-1791. (2015)Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment., , , , , , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 529-539. Springer, (2020)Unified Pragmatic Models for Generating and Following Instructions., , and . NAACL-HLT, page 1951-1963. Association for Computational Linguistics, (2018)Towards Tracing Knowledge in Language Models Back to the Training Data., , , , , , and . EMNLP (Findings), page 2429-2446. Association for Computational Linguistics, (2022)Reasoning about Pragmatics with Neural Listeners and Speakers., and . EMNLP, page 1173-1182. The Association for Computational Linguistics, (2016)