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Leslie Kaelbling
Leslie Kaelbling
Author Information
Leslie Kaelbling (MIT)
More from the Same Authors
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2020 : Robotic gripper design with Evolutionary Strategies and Graph Element Networks »
Ferran Alet · Maria Bauza · Adarsh K Jeewajee · Max Thomsen · Alberto Rodriguez · Leslie Kaelbling · Tomás Lozano-Pérez -
2022 : Solving PDDL Planning Problems with Pretrained Large Language Models »
Tom Silver · Varun Hariprasad · Reece Shuttleworth · Nishanth Kumar · Tomás Lozano-Pérez · Leslie Kaelbling -
2022 Poster: PDSketch: Integrated Domain Programming, Learning, and Planning »
Jiayuan Mao · Tomás Lozano-Pérez · Josh Tenenbaum · Leslie Kaelbling -
2021 Poster: Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization »
Clement Gehring · Kenji Kawaguchi · Jiaoyang Huang · Leslie Kaelbling -
2021 Poster: Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time »
Ferran Alet · Maria Bauza · Kenji Kawaguchi · Nurullah Giray Kuru · Tomás Lozano-Pérez · Leslie Kaelbling -
2020 Poster: Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models »
Adarsh Keshav Jeewajee · Leslie Kaelbling -
2020 : Doing for our robots what nature did for us »
Leslie Kaelbling -
2019 Poster: Neural Relational Inference with Fast Modular Meta-learning »
Ferran Alet · Erica Weng · Tomás Lozano-Pérez · Leslie Kaelbling -
2018 : Discussion Panel: Ryan Adams, Nicolas Heess, Leslie Kaelbling, Shie Mannor, Emo Todorov (moderator: Roy Fox) »
Ryan Adams · Nicolas Heess · Leslie Kaelbling · Shie Mannor · Emo Todorov · Roy Fox -
2018 : On the Value of Knowing What You Don't Know: Learning to Sample and Sampling to Learn for Robot Planning (Leslie Kaelbling) »
Leslie Kaelbling -
2018 Workshop: Infer to Control: Probabilistic Reinforcement Learning and Structured Control »
Leslie Kaelbling · Martin Riedmiller · Marc Toussaint · Igor Mordatch · Roy Fox · Tuomas Haarnoja -
2018 : Talk 8: Leslie Kaelbling - Learning models of very large hybrid domains »
Leslie Kaelbling -
2018 Poster: Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior »
Zi Wang · Beomjoon Kim · Leslie Kaelbling -
2018 Spotlight: Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior »
Zi Wang · Beomjoon Kim · Leslie Kaelbling -
2015 Poster: Bayesian Optimization with Exponential Convergence »
Kenji Kawaguchi · Leslie Kaelbling · Tomás Lozano-Pérez -
2008 Poster: Multi-Agent Filtering with Infinitely Nested Beliefs »
Luke Zettlemoyer · Brian Milch · Leslie Kaelbling -
2008 Spotlight: Multi-Agent Filtering with Infinitely Nested Beliefs »
Luke Zettlemoyer · Brian Milch · Leslie Kaelbling -
2007 Workshop: The Grammar of Vision: Probabilistic Grammar-Based Models for Visual Scene Understanding and Object Categorization »
Virginia Savova · Josh Tenenbaum · Leslie Kaelbling · Alan Yuille