| 2023 | ICML | The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. | Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury |
| 2022 | ICRA | Improved Soft Duplicate Detection in Search-Based Motion Planning. | Nader Maray, Anirudh Vemula, Maxim Likhachev |
| 2021 | AAAI | CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models. | Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev |
| 2020 | ICRA | Planning, Learning and Reasoning Framework for Robot Truck Unloading. | Fahad Islam, Anirudh Vemula, Sung-Kyun Kim, Andrew Dornbush, Oren Salzman, Maxim Likhachev |
| 2019 | AISTATS | Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective. | Anirudh Vemula, Wen Sun, J. Andrew Bagnell |
| 2019 | ICML | Provably Efficient Imitation Learning from Observation Alone. | Wen Sun, Anirudh Vemula, Byron Boots, Drew Bagnell |
| 2018 | ICRA | Social Attention: Modeling Attention in Human Crowds. | Anirudh Vemula, Katharina Muelling, Jean Oh |
| 2017 | ICRA | Modeling cooperative navigation in dense human crowds. | Anirudh Vemula, Katharina Mlling, Jean Oh |
| 2016 | SoCS | Path Planning in Dynamic Environments with Adaptive Dimensionality. | Anirudh Vemula, Katharina Mlling, Jean Oh |
| 2015 | COMSNETS | 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 |