| Entity abstraction in visual model-based reinforcement learning R Veerapaneni, JD Co-Reyes, M Chang, M Janner, C Finn, J Wu, ... Conference on Robot Learning, 1439-1456, 2020 | 200 | 2020 |
| Adaptive estimation of active contour parameters using convolutional neural networks and texture analysis A Hoogi, A Subramaniam, R Veerapaneni, DL Rubin IEEE transactions on medical imaging 36 (3), 781-791, 2016 | 77 | 2016 |
| Tricking Neural Networks: Create Your Own Adversarial Examples D Geng, R Veerapaneni Machine Learning@ Berkley, 2018 | 10 | 2018 |
| Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution Y Su, R Veerapaneni, J Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17559 …, 2024 | 2 | 2024 |
| Minimizing coordination in multi-agent path finding with dynamic execution A Wagner, R Veerapaneni, M Likhachev Proceedings of the AAAI Conference on Artificial Intelligence and …, 2022 | 2 | 2022 |
| Effective integration of weighted cost-to-go and conflict heuristic within suboptimal CBS R Veerapaneni, T Kusnur, M Likhachev Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11691 …, 2023 | 1 | 2023 |
| Non-Blocking Batch A*(Technical Report) R Veerapaneni, M Likhachev arXiv preprint arXiv:2208.07031, 2022 | 1 | 2022 |
| Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings: Research Challenges and Opportunities H Jiang, Y Zhang, R Veerapaneni, J Li arXiv preprint arXiv:2404.16162, 2024 | | 2024 |
| From Space-Time to Space-Order: Directly Planning a Temporal Planning Graph by Redefining CBS Y Wu, R Veerapaneni, J Li, M Likhachev arXiv preprint arXiv:2404.15137, 2024 | | 2024 |
| A Data Efficient Framework for Learning Local Heuristics R Veerapaneni, J Park, MS Saleem, M Likhachev arXiv preprint arXiv:2404.06728, 2024 | | 2024 |
| Improving Learnt Local MAPF Policies with Heuristic Search R Veerapaneni, Q Wang, K Ren, A Jakobsson, J Li, M Likhachev arXiv preprint arXiv:2403.20300, 2024 | | 2024 |
| Preprocessing-Based Planning for Utilizing Contacts in Semi-Structured High-Precision Insertion Tasks MS Saleem, R Veerapaneni, M Likhachev IEEE Robotics and Automation Letters, 2023 | | 2023 |
| Learning Local Heuristics for Search-Based Navigation Planning R Veerapaneni, MS Saleem, M Likhachev International Conference on Automated Planning and Scheduling, 33, 634-638, 2023 | | 2023 |
| MAPF in 3D Warehouses: Dataset and Analysis Q Wang, R Veerapaneni, Y Wu, J Li, M Likhachev 34th International Conference on Automated Planning and Scheduling, 0 | | |
Maxim LikhachevAssociate Professor of Robotics, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
