Learning Planning Abstractions from Language

Learning Planning Abstractions from Language

6 May 2024

Jiayuan Mao

Jiajun Wu

Papers citing "Learning Planning Abstractions from Language"

19 / 19 papers shown

Title
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation Bowen Li Zhaoyu Li Qiwei Du Jinqi Luo Wenshan Wang ... Katia Sycara Pradeep Kumar Ravikumar Alexander G. Gray X. Si Sebastian A. Scherer AI4CE LRM 125 4 0 01 Nov 2024
Learning Rational Subgoals from Demonstrations and Instructions Zhezheng Luo Jiayuan Mao Jiajun Wu Tomás Lozano-Pérez J. Tenenbaum L. Kaelbling 57 5 0 09 Mar 2023
Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning Zhutian Yang Caelan Reed Garrett Tomás Lozano-Pérez Leslie Kaelbling Dieter Fox 77 26 0 03 Nov 2022
GLIPv2: Unifying Localization and Vision-Language Understanding Haotian Zhang Pengchuan Zhang Xiaowei Hu Yen-Chun Chen Liunian Harold Li Xiyang Dai Lijuan Wang Lu Yuan Lei Li Jianfeng Gao ObjD VLM 85 298 0 12 Jun 2022
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data Oier Mees Lukás Hermann Wolfram Burgard LM&Ro 96 153 0 13 Apr 2022
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 58 42 0 04 Nov 2021
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects Weiyu Liu Chris Paxton Tucker Hermans Dieter Fox 69 93 0 19 Oct 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation Suraj Nair E. Mitchell Kevin Chen Brian Ichter Silvio Savarese Chelsea Finn LM&Ro OffRL 90 156 0 02 Sep 2021
PCT: Point cloud transformer Meng-Hao Guo Junxiong Cai Zheng-Ning Liu Tai-Jiang Mu Ralph Robert Martin Shimin Hu ViT 3DPC 134 1,616 0 17 Dec 2020
Regression Planning Networks Danfei Xu Roberto Martín-Martín De-An Huang Yuke Zhu Silvio Savarese Li Fei-Fei 31 57 0 28 Sep 2019
Learning First-Order Symbolic Representations for Planning from the Structure of the State Space Blai Bonet Hector Geffner NAI 36 53 0 12 Sep 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 50 225 0 18 Jun 2019
A Survey of Reinforcement Learning Informed by Natural Language Jelena Luketina Nantas Nardelli Gregory Farquhar Jakob N. Foerster Jacob Andreas Edward Grefenstette Shimon Whiteson Tim Rocktaschel LM&Ro KELM OffRL LRM 76 282 0 10 Jun 2019
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 248 2,326 0 05 Jul 2017
Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas Dan Klein Sergey Levine OffRL 138 461 0 06 Nov 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,851 0 04 Feb 2016
Alignment-based compositional semantics for instruction following Jacob Andreas Dan Klein 64 102 0 26 Aug 2015
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences Hongyuan Mei Joey Tianyi Zhou Matthew R. Walter LM&Ro 86 244 0 12 Jun 2015
Learning Symbolic Models of Stochastic Domains L. Kaelbling H. Pasula L. S. Zettlemoyer 104 241 0 10 Oct 2011

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