Anirudh Vemula

According to our database, Anirudh Vemula authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms.

Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury

Proceedings of the International Conference on Machine Learning, 2023

2022

Planning and Execution using Inaccurate Models with Provable Guarantees on Task Completeness.

Anirudh Vemula

PhD thesis, 2022

On the Effectiveness of Iterative Learning Control.

Anirudh Vemula, Wen Sun, Maxim Likhachev, J. Andrew Bagnell

Proceedings of the Learning for Dynamics and Control Conference, 2022

Improved Soft Duplicate Detection in Search-Based Motion Planning.

Nader Maray, Anirudh Vemula, Maxim Likhachev

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Learning Optimal Decision Making for an Industrial Truck Unloading Robot using Minimal Simulator Runs.

Manash Pratim Das, Anirudh Vemula, Mayank Pathak, Sandip Aine, Maxim Likhachev

CoRR, 2021

CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models.

Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Exploration in Action Space.

Anirudh Vemula, Wen Sun, J. Andrew Bagnell

CoRR, 2020

Planning and Execution using Inaccurate Models with Provable Guarantees.

Anirudh Vemula, Yash Oza, J. Andrew Bagnell, Maxim Likhachev

Proceedings of the Robotics: Science and Systems XVI, 2020

Planning, Learning and Reasoning Framework for Robot Truck Unloading.

Fahad Islam, Anirudh Vemula, Sung-Kyun Kim, Andrew Dornbush, Oren Salzman, Maxim Likhachev

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Tron: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions.

Anirudh Vemula, J. Andrew Bagnell

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Task-Informed Fidelity Management for Speeding Up Robotics Simulation.

Abhijeet Tallavajhula, Adrian Schoisengeier, Sung-Kyun Kim, Anirudh Vemula, Levi Lister, Oren Salzman

CoRR, 2019

Provably Efficient Imitation Learning from Observation Alone.

Wen Sun, Anirudh Vemula, Byron Boots, Drew Bagnell

Proceedings of the 36th International Conference on Machine Learning, 2019

Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective.

Anirudh Vemula, Wen Sun, J. Andrew Bagnell

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Social Attention: Modeling Attention in Human Crowds.

Anirudh Vemula, Katharina Muelling, Jean Oh

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Modeling cooperative navigation in dense human crowds.

Anirudh Vemula, Katharina Mülling, Jean Oh

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Path Planning in Dynamic Environments with Adaptive Dimensionality.

Anirudh Vemula, Katharina Mülling, Jean Oh

Proceedings of the Ninth Annual Symposium on Combinatorial Search, 2016

2015

Improving public transportation through crowd-sourcing.

Anirudh Vemula, Nikhil Patil, Vivek Paharia, Aneesh Bansal, Megha Chaudhary, Naveen Aggarwal, Divya Bansal, K. K. Ramakrishnan, Bhaskaran Raman

Proceedings of the 7th International Conference on Communication Systems and Networks, 2015