Kunal Menda
Kunal Menda
Graduate Student, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
172018
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
132019
A general framework for structured learning of mechanical systems
JK Gupta, K Menda, Z Manchester, MJ Kochenderfer
arXiv preprint arXiv:1902.08705, 2019
112019
Dropoutdagger: A bayesian approach to safe imitation learning
K Menda, K Driggs-Campbell, MJ Kochenderfer
arXiv preprint arXiv:1709.06166, 2017
112017
Structured mechanical models for robot learning and control
JK Gupta, K Menda, Z Manchester, M Kochenderfer
Learning for Dynamics and Control, 328-337, 2020
52020
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
22020
Frame interpolation using generative adversarial networks
M Koren, K Menda, A Sharma
Stanford University: Stanford, CA, USA, 2017
22017
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
12019
Explaining COVID-19 Outbreaks with Reactive SEIRD Models
KR Menda, L Laird, MJ Kochenderfer, RS Caceres
medRxiv, 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, ...
2019
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM Download PDF
K Menda, J de Becdelièvre, JK Gupta, I Kroo, MJ Kochenderfer, ...
Convolutional Neural Networks for Video Frame Interpolation
A Sharma, K Menda, M Koren
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Articles 1–12