Learning Portable Representations for High-Level Planning

Learning Portable Representations for High-Level Planning

28 May 2019

Steven D. James

Benjamin Rosman

George Konidaris

ArXiv (abs)PDF HTML

Papers citing "Learning Portable Representations for High-Level Planning"

9 / 9 papers shown

Title
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning Yichao Liang Nishanth Kumar Hao Tang Adrian Weller J. Tenenbaum Tom Silver Joao Henriques Kevin Ellis 129 12 0 30 Oct 2024
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges T. Taniguchi Shingo Murata Masahiro Suzuki D. Ognibene Pablo Lanillos ... L. Jamone Tomoaki Nakamura Alejandra Ciria B. Lara G. Pezzulo 100 57 0 14 Jan 2023
Learning Multi-Object Symbols for Manipulation with Attentive Deep Effect Predictors Alper Ahmetoglu Erhan Öztop Emre Ugur 60 4 0 01 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks David Klee Ondrej Biza Robert Platt OffRL 73 1 0 22 Jul 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning Jan Achterhold Markus Krimmel Joerg Stueckler 97 10 0 11 Jul 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 103 66 0 21 Jun 2022
Deep Affordance Foresight: Planning Through What Can Be Done in the Future Danfei Xu Ajay Mandlekar Roberto Martín-Martín Yuke Zhu Silvio Savarese Li Fei-Fei 98 72 0 17 Nov 2020
Extrapolation in Gridworld Markov-Decision Processes Eugene Charniak 19 0 0 14 Apr 2020
Learning Action Models from Disordered and Noisy Plan Traces Hankui Zhuo Jing Peng S. Kambhampati 136 10 0 26 Aug 2019