Naman Shah

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Stochastic Inventory Control

Hierarchical Models

Top Venues

Publications

Naman Shah, Siddharth Srivastava
Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention. AAAI (2024)
Daksh Dobhal, Jayesh Nagpal, Rushang Karia, Pulkit Verma, Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava
Using Explainable AI and Hierarchical Planning for Outreach with Robots. CoRR (2024)
Naman Shah
Learning Neuro-Symbolic Abstractions for Robot Planning and Learning. AAAI (2024)
Naman Shah, Jayesh Nagpal, Pulkit Verma, Siddharth Srivastava
From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions, and Models for Planning from Raw Data. CoRR (2024)
Naman Shah
Reliable Neuro-Symbolic Abstractions for Planning and Learning. IJCAI (2023)
Naman Shah, Siddharth Srivastava
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning. CoRR (2022)
Naman Shah, Siddharth Srivastava
Multi-Task Option Learning and Discovery for Stochastic Path Planning. CoRR (2022)
Naman Shah, Siddharth Srivastava
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning. AAMAS (2022)
Naman Shah, Pulkit Verma, Trevor Angle, Siddharth Srivastava
JEDAI: A System for Skill-Aligned Explainable Robot Planning. AAMAS (2022)
Trevor Angle, Naman Shah, Pulkit Verma, Siddharth Srivastava
JEDAI Explains Decision-Making AI. CoRR (2021)
Naman Shah, Siddharth Srivastava
Anytime Stochastic Task and Motion Policies. CoRR (2021)
Naman Shah, Deepak Kala Vasudevan, Kislay Kumar, Pranav Kamojjhala, Siddharth Srivastava
Anytime Integrated Task and Motion Policies for Stochastic Environments. ICRA (2020)
Naman Shah, Abhyudaya Srinet, Siddharth Srivastava
Learning Sampling Distributions for Efficient High-Dimensional Motion Planning. CoRR (2020)
Naman Shah, Siddharth Srivastava
Anytime Integrated Task and Motion Policies for Stochastic Environments. CoRR (2019)