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Planning with State Abstractions for Non-Markovian Task Specifications

Planning with State Abstractions for Non-Markovian Task Specifications

28 May 2019
Yoonseon Oh
Roma Patel
Thao Nguyen
Baichuan Huang
Ellie Pavlick
Stefanie Tellex
ArXivPDFHTML

Papers citing "Planning with State Abstractions for Non-Markovian Task Specifications"

5 / 5 papers shown
Title
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
Yi Wu
Z. Xiong
Yiran Hu
Shreyash S. Iyengar
Nan Jiang
Aniket Bera
Lin Tan
Suresh Jagannathan
LM&Ro
LLMAG
84
4
0
17 Feb 2025
Data-Efficient Learning of Natural Language to Linear Temporal Logic
  Translators for Robot Task Specification
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification
Jiayi Pan
Glen Chou
Dmitry Berenson
29
35
0
09 Mar 2023
Grounding Complex Natural Language Commands for Temporal Tasks in Unseen
  Environments
Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments
Jason Liu
Ziyi Yang
Ifrah Idrees
Sam Liang
Benjamin Schornstein
Stefanie Tellex
Ankit Parag Shah
LM&Ro
28
40
0
22 Feb 2023
Planning With Uncertain Specifications (PUnS)
Planning With Uncertain Specifications (PUnS)
Ankit J. Shah
Shen Li
J. Shah
19
25
0
07 Jun 2019
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
224
1,209
0
12 Jun 2017
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