| Social attention: Modeling attention in human crowds A Vemula, K Muelling, J Oh 2018 IEEE international Conference on Robotics and Automation (ICRA), 4601-4607, 2018 | 896 | 2018 |
| Modeling cooperative navigation in dense human crowds A Vemula, K Muelling, J Oh 2017 IEEE International Conference on Robotics and Automation (ICRA), 1685-1692, 2017 | 124 | 2017 |
| Provably efficient imitation learning from observation alone W Sun, A Vemula, B Boots, D Bagnell International conference on machine learning, 6036-6045, 2019 | 123 | 2019 |
| Contrasting exploration in parameter and action space: A zeroth-order optimization perspective A Vemula, W Sun, JA Bagnell arXiv preprint arXiv:1901.11503, 2019 | 62 | 2019 |
| Path planning in dynamic environments with adaptive dimensionality A Vemula, K Muelling, J Oh Proceedings of the International Symposium on Combinatorial Search 7 (1 …, 2016 | 39 | 2016 |
| Planning and Execution using Inaccurate Models with Provable Guarantees A Vemula, Y Oza, JA Bagnell, M Likhachev 2020 Robotics: Science and Systems (RSS), 1-8, 2020 | 29 | 2020 |
| Planning, Learning and Reasoning Framework for Robot Truck Unloading F Islam, A Vemula, SK Kim, A Dornbush, O Salzman, M Likhachev arXiv preprint arXiv:1910.09453, 2019 | 25 | 2019 |
| The virtues of laziness in model-based rl: A unified objective and algorithms A Vemula, Y Song, A Singh, D Bagnell, S Choudhury International Conference on Machine Learning, 34978-35005, 2023 | 18 | 2023 |
| Cmax++: Leveraging experience in planning and execution using inaccurate models A Vemula, JA Bagnell, M Likhachev Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6147-6155, 2021 | 13 | 2021 |
| Improving public transportation through crowd-sourcing A Vemula, N Patil, V Paharia, A Bansal, M Chaudhary, N Aggarwal, ... 2015 7th International Conference on Communication Systems and Networks …, 2015 | 13 | 2015 |
| On the effectiveness of iterative learning control A Vemula, W Sun, M Likhachev, JA Bagnell Learning for Dynamics and Control Conference, 47-58, 2022 | 7 | 2022 |
| Playing Games with Deep Reinforcement Learning D Dwibedi, A Vemula Master’s thesis. See also URL https://debidatta. github. io/assets …, 2020 | 6 | 2020 |
| Safe and Efficient Navigation in Dynamic Environments A Vemula no. July, 2017 | 5 | 2017 |
| Improved soft duplicate detection in search-based motion planning N Maray, A Vemula, M Likhachev 2022 International Conference on Robotics and Automation (ICRA), 5792-5798, 2022 | 4 | 2022 |
| Learning optimal decision making for an industrial truck unloading robot using minimal simulator runs MP Das, A Vemula, M Pathak, S Aine, M Likhachev arXiv preprint arXiv:2105.05019, 2021 | 4 | 2021 |
| Tron: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions A Vemula, JA Bagnell 2020 59th IEEE Conference on Decision and Control (CDC), 4157-4163, 2020 | 4 | 2020 |
| Learning motion planning assumptions A Vemula, S Choudhury, S Scherer Carnegie Mellon University Techinial Report, 2014 | 2 | 2014 |
| Training a Motion Planning System for an Autonomous Vehicle TTT Dang, V Dugar, P Jin, Y Ma, A Vemula, A Venkatraman US Patent App. 18/585,943, 2025 | 1 | 2025 |
| System and method for mounting objects across a non-uniform outdoor terrain V Dugar, P Puri, A Vemula US Patent 12,221,329, 2025 | 1 | 2025 |
| Exploration in action space A Vemula, W Sun, JA Bagnell arXiv preprint arXiv:2004.00500, 2020 | 1 | 2020 |
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
