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 | 723 | 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 | 113 | 2017 |
Provably efficient imitation learning from observation alone W Sun, A Vemula, B Boots, D Bagnell International conference on machine learning, 6036-6045, 2019 | 98 | 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 | 48 | 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 | 31 | 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 | 21 | 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 | 15 | 2019 |
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 | 12 | 2015 |
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 | 8 | 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 | 7 | 2021 |
On the effectiveness of iterative learning control A Vemula, W Sun, M Likhachev, JA Bagnell Learning for Dynamics and Control Conference, 47-58, 2022 | 5 | 2022 |
Playing Games with Deep Reinforcement Learning D Dwibedi, A Vemula Master’s thesis. See also URL https://debidatta. github. io/assets …, 2020 | 4 | 2020 |
Safe and Efficient Navigation in Dynamic Environments A Vemula no. July, 2017 | 4 | 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 | 3 | 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 | 3 | 2021 |
Learning motion planning assumptions A Vemula, S Choudhury, S Scherer Carnegie Mellon University Techinial Report, 2014 | 2 | 2014 |
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 | 1 | 2020 |
Exploration in action space A Vemula, W Sun, JA Bagnell arXiv preprint arXiv:2004.00500, 2020 | 1 | 2020 |
Task-Informed Fidelity Management for Speeding Up Robotics Simulation A Tallavajhula, A Schoisengeier, SK Kim, A Vemula, L Lister, O Salzman arXiv preprint arXiv:1910.12284, 2019 | 1 | 2019 |
Mosaicing of multiplanar regions through autonomous navigation of off-the-shelf quadcopter MG Prasad, SP Akula, A Vemula, S Chandran IET Cyber-systems and Robotics 1 (3), 81-92, 2019 | 1 | 2019 |