| Distributed Deep Reinforcement Learning for Fighting Forest Fires with a Network of Aerial Robots RN Haksar, M Schwager 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 84 | 2018 |
| Orienting in mid-air through configuration changes to achieve a rolling landing for reducing impact after a fall JT Bingham, J Lee, RN Haksar, J Ueda, CK Liu 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 29 | 2014 |
| Spatial Scheduling of Informative Meetings for Multi-Agent Persistent Coverage RN Haksar, S Trimpe, M Schwager IEEE Robotics and Automation Letters 5 (2), 3027-3034, 2020 | 14 | 2020 |
| Consensus-based ADMM for task assignment in multi-robot teams RN Haksar, O Shorinwa, P Washington, M Schwager The International Symposium of Robotics Research, 35-51, 2019 | 12 | 2019 |
| Distributed multirobot task assignment via consensus ADMM O Shorinwa, RN Haksar, P Washington, M Schwager IEEE Transactions on Robotics 39 (3), 1781-1800, 2023 | 9 | 2023 |
| Controlling Large, Graph-based MDPs with Global Control Capacity Constraints: An Approximate LP Solution RN Haksar, M Schwager 2018 IEEE Conference on Decision and Control (CDC), 35-42, 2018 | 9 | 2018 |
| Scalable filtering of large graph-coupled hidden Markov models RN Haksar, J Lorenzetti, M Schwager 2019 IEEE 58th Conference on Decision and Control (CDC), 1307-1314, 2019 | 4 | 2019 |
| Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources RN Haksar, F Solowjow, S Trimpe, M Schwager 2019 IEEE 58th Conference on Decision and Control (CDC), 1315-1322, 2019 | 4 | 2019 |
| Constrained control of large graph-based MDPs under measurement uncertainty RN Haksar, M Schwager IEEE Transactions on Automatic Control 68 (11), 6605-6620, 2023 | 3 | 2023 |
| Learning Large Graph-Based MDPs With Historical Data RN Haksar, M Schwager IEEE Transactions on Control of Network Systems 9 (3), 1447-1458, 2021 | 2 | 2021 |
| Control, Filtering, Learning, and Multi-robot Algorithms for Large Graph-based Markov Decision Processes R Haksar Stanford University, 2020 | 1 | 2020 |
| End-to-End Learning for Fighting Forest Fires (EELFFF) R Haksar, A Caccavale | | |
| Improved Genetic Algorithms For Reinforcement Learning R Haksar, P Sharma | | |
Mac SchwagerStanford University在 stanford.edu 的电子邮件经过验证
