| Ensembledagger: A bayesian approach to safe imitation learning K Menda, K Driggs-Campbell, MJ Kochenderfer 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 110 | 2019 |
| Deep reinforcement learning for event-driven multi-agent decision processes K Menda, YC Chen, J Grana, JW Bono, BD Tracey, MJ Kochenderfer, ... IEEE Transactions on Intelligent Transportation Systems 20 (4), 1259-1268, 2018 | 67 | 2018 |
| Structured mechanical models for robot learning and control JK Gupta, K Menda, Z Manchester, M Kochenderfer Learning for Dynamics and Control, 328-337, 2020 | 43 | 2020 |
| A general framework for structured learning of mechanical systems JK Gupta, K Menda, Z Manchester, MJ Kochenderfer arXiv preprint arXiv:1902.08705, 2019 | 40 | 2019 |
| Explaining COVID-19 outbreaks with reactive SEIRD models K Menda, L Laird, MJ Kochenderfer, RS Caceres Scientific Reports 11 (1), 17905, 2021 | 29 | 2021 |
| Dropoutdagger: A bayesian approach to safe imitation learning K Menda, K Driggs-Campbell, MJ Kochenderfer arXiv preprint arXiv:1709.06166, 2017 | 25 | 2017 |
| Scalable identification of partially observed systems with certainty-equivalent EM K Menda, J De Becdelievre, J Gupta, I Kroo, M Kochenderfer, ... International Conference on Machine Learning, 6830-6840, 2020 | 11 | 2020 |
| Frame interpolation using generative adversarial networks M Koren, K Menda, A Sharma Stanford University: Stanford, CA, USA, 2017 | 9 | 2017 |
| Structured mechanical models for efficient reinforcement learning K Menda, JK Gupta, Z Manchester, MJ Kochenderfer Workshop on Structure and Priors in Reinforcement Learning, International …, 2019 | 8 | 2019 |
| A general framework for structured learning of mechanical systems (2019) JK Gupta, K Menda, Z Manchester, MJ Kochenderfer arXiv preprint arXiv:1902.08705, 0 | 6 | |
| Strategic asset allocation with illiquid alternatives E Luxenberg, S Boyd, M van Beek, W Cao, M Kochenderfer Proceedings of the third ACM international conference on AI in finance, 249-256, 2022 | 2 | 2022 |
| Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand A Jamgochian, D Wu, K Menda, S Jung, MJ Kochenderfer arXiv preprint arXiv:2201.02753, 2022 | 1 | 2022 |
| Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning A Jamgochian, K Menda, MJ Kochenderfer arXiv preprint arXiv:2201.02718, 2022 | 1 | 2022 |
| Convolutional neural networks for video frame interpolation A Sharma, K Menda, M Koren Neurocomputing, 2017 | 1 | 2017 |
| Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual K Menda, JK Gupta, Z Manchester, MJ Kochenderfer arXiv preprint arXiv:2105.01811, 2021 | | 2021 |
| Non-linear System Identification from Partial Observations via Iterative Smoothing and Learning K Menda, J de Becdelièvre, JK Gupta, I Kroo, MJ Kochenderfer, ... | | |
Mykel J. KochenderferAssociate Professor, Stanford UniversityBestätigte E-Mail-Adresse bei stanford.edu
