Naman Shah

Affiliations:
  • Arizona State University, Autonomous Agent and Intelligent Robots (AAIR) Lab, Tempe, AZ, USA


According to our database1, Naman Shah authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions, and Models for Planning from Raw Data.
CoRR, 2024

Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Neuro-Symbolic Abstractions for Robot Planning and Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Reliable Neuro-Symbolic Abstractions for Planning and Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Multi-Task Option Learning and Discovery for Stochastic Path Planning.
CoRR, 2022

Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

JEDAI: A System for Skill-Aligned Explainable Robot Planning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
JEDAI Explains Decision-Making AI.
CoRR, 2021

Anytime Stochastic Task and Motion Policies.
CoRR, 2021

2020
Learning Sampling Distributions for Efficient High-Dimensional Motion Planning.
CoRR, 2020

Anytime Integrated Task and Motion Policies for Stochastic Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Anytime Integrated Task and Motion Policies for Stochastic Environments.
CoRR, 2019


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