DropoutDAgger: A Bayesian Approach to Safe Imitation Learning. - Kunal Menda; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (CoRR, 2017)

EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. - Kunal Menda; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (IROS, 2019)

A General Framework for Structured Learning of Mechanical Systems. - Jayesh K. Gupta; Kunal Menda; Zachary Manchester; Mykel J. Kochenderfer (CoRR, 2019)

Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. - Kunal Menda; Yi-Chun Chen 004; Justin Grana; James W. Bono; Brendan D. Tracey; Mykel J. Kochenderfer; David H. Wolpert (IEEE Trans. Intell. Transp. Syst., 2019)

Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. - Kunal Menda; Jean de Becdelièvre; Jayesh K. Gupta; Ilan Kroo; Mykel J. Kochenderfer; Zachary Manchester (ICML, 2020)

Structured Mechanical Models for Robot Learning and Control. - Jayesh K. Gupta; Kunal Menda; Zachary Manchester; Mykel J. Kochenderfer (L4DC, 2020)

Normalized Stanford Helicopter Dataset. - Kunal Menda; Jean de Becdelièvre; Jayesh K. Gupta; Ilan Kroo; Mykel John Kochenderfer; Zachary Manchester (Zenodo, 2020)

Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual. - Kunal Menda; Jayesh K. Gupta; Zachary Manchester; Mykel J. Kochenderfer (CoRR, 2021)

Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning. - Arec L. Jamgochian; Kunal Menda; Mykel J. Kochenderfer (CoRR, 2022)

Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand. - Arec L. Jamgochian; Di Wu; Kunal Menda; Soyeon Jung; Mykel J. Kochenderfer (CoRR, 2022)

Strategic Asset Allocation with Illiquid Alternatives. - Eric Luxenberg; Stephen P. Boyd; Mykel J. Kochenderfer; Misha van Beek; Wen Cao; Steven Diamond; Alex Ulitsky; Kunal Menda; Vidy Vairavamurthy (CoRR, 2022)