Kunal Menda

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 14

Top Topics

Asset Allocation

Quadratic Optimization

Publish Subscribe

Decision Process

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Arec L. Jamgochian, Kunal Menda, Mykel J. Kochenderfer
Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning. CoRR (2022)
Arec L. Jamgochian, Di Wu, Kunal Menda, Soyeon Jung, Mykel J. Kochenderfer
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand. CoRR (2022)
Eric Luxenberg, Stephen P. Boyd, Mykel J. Kochenderfer, Misha van Beek, Wen Cao, Steven Diamond, Alex Ulitsky, Kunal Menda, Vidy Vairavamurthy
Strategic Asset Allocation with Illiquid Alternatives. CoRR (2022)
Kunal Menda, Jayesh K. Gupta, Zachary Manchester, Mykel J. Kochenderfer
Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual. CoRR (2021)
Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. ICML (2020)
Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. CoRR (2020)
Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer
Structured Mechanical Models for Robot Learning and Control. L4DC (2020)
Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer
Structured Mechanical Models for Robot Learning and Control. CoRR (2020)
Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer
A General Framework for Structured Learning of Mechanical Systems. CoRR (2019)
Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. IROS (2019)
Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. IEEE Trans. Intell. Transp. Syst. 20 (4) (2019)
Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. CoRR (2018)
Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. CoRR (2017)
Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning. CoRR (2017)