Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1906.03218
Cited By
v1
v2
v3 (latest)
Planning With Uncertain Specifications (PUnS)
IEEE Robotics and Automation Letters (RA-L), 2019
7 June 2019
Ankit J. Shah
Shen Li
J. Shah
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Planning With Uncertain Specifications (PUnS)"
16 / 16 papers shown
Safety Guardrails for LLM-Enabled Robots
Zachary Ravichandran
Avi Schwarzschild
Vijay Kumar
George Pappas
Hamed Hassani
604
27
0
10 Mar 2025
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
IEEE International Conference on Robotics and Automation (ICRA), 2024
Yi Wu
Z. Xiong
Yiran Hu
Shreyash S. Iyengar
Nan Jiang
Aniket Bera
Lin Tan
Suresh Jagannathan
LM&Ro
LLMAG
523
19
0
17 Feb 2025
Reward Machines for Deep RL in Noisy and Uncertain Environments
Andrew C. Li
Zizhao Chen
Toryn Q. Klassen
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
548
14
0
31 May 2024
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
Zhi-Xuan Tan
Lance Ying
Vikash K. Mansinghka
Joshua B. Tenenbaum
421
39
0
27 Feb 2024
Plug in the Safety Chip: Enforcing Constraints for LLM-driven Robot Agents
IEEE International Conference on Robotics and Automation (ICRA), 2023
Ziyi Yang
S. S. Raman
Ankit Parag Shah
Stefanie Tellex
LLMAG
483
89
0
18 Sep 2023
Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector
IEEE Robotics and Automation Letters (RA-L), 2023
Wataru Hatanaka
R. Yamashina
Takamitsu Matsubara
292
7
0
06 Sep 2023
Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments
Conference on Robot Learning (CoRL), 2023
Jason Liu
Ziyi Yang
Ifrah Idrees
Sam Liang
Benjamin Schornstein
Stefanie Tellex
Ankit Parag Shah
LM&Ro
289
64
0
22 Feb 2023
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants
IEEE International Conference on Robotics and Automation (ICRA), 2023
Xavier Puig
Tianmin Shu
J. Tenenbaum
Antonio Torralba
183
29
0
12 Jan 2023
Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines
Andrew C. Li
Zizhao Chen
Pashootan Vaezipoor
Toryn Q. Klassen
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRL
231
15
0
20 Nov 2022
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines
Jueming Hu
Zhe Xu
Weichang Wang
Guannan Qu
Yutian Pang
Yongming Liu
394
17
0
30 Sep 2021
The Logical Options Framework
International Conference on Machine Learning (ICML), 2021
Brandon Araki
Xiao Li
Kiran Vodrahalli
Jonathan A. DeCastro
Micah J. Fry
Daniela Rus
OffRL
195
42
0
24 Feb 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
International Conference on Machine Learning (ICML), 2021
Pashootan Vaezipoor
Andrew C. Li
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRL
AI4CE
403
100
0
13 Feb 2021
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations
Glen Chou
N. Ozay
Dmitry Berenson
238
18
0
09 Nov 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Journal of Artificial Intelligence Research (JAIR), 2020
Rodrigo Toro Icarte
Toryn Q. Klassen
Richard Valenzano
Sheila A. McIlraith
OffRL
535
296
0
06 Oct 2020
Ants, robots, humans: a self-organizing, complex systems modeling approach
M. Jaraíz
80
5
0
21 Sep 2020
Interactive Robot Training for Non-Markov Tasks
Ankit J. Shah
Samir Wadhwania
J. Shah
152
15
0
04 Mar 2020
1
Page 1 of 1
