Nathan Dahlin

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 20

Top Topics

Renewable Energy Sources

Distribution Network

Reproducing Kernel Hilbert Space

Reinforcement Learning

Top Venues

IEEE Trans. Control. Netw. Syst.

Publications

Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose, Umesh Vaidya
Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach. ICML (2023)
Nathan Dahlin, Subhonmesh Bose, Venugopal V. Veeravalli
Controlling a Markov Decision Process with an Abrupt Change in the Transition Kernel. ACC (2023)
Kevin Chang, Nathan Dahlin, Rahul Jain, Pierluigi Nuzzo
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers. CoRR (2023)
Kevin Chang, Nathan Dahlin, Rahul Jain, Pierluigi Nuzzo
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers. CDC (2023)
Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose
Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces. AAAI (2023)
Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar
Conditional Kernel Imitation Learning for Continuous State Environments. CoRR (2023)
Nathan Dahlin, Rahul Jain
Scheduling Flexible Nonpreemptive Loads in Smart-Grid Networks. IEEE Trans. Control. Netw. Syst. 9 (1) (2022)
Nathan Dahlin, Rahul Jain
Two-Stage Electricity Markets With Renewable Energy Integration: Market Mechanisms and Equilibrium Analysis. IEEE Trans. Control. Netw. Syst. 9 (2) (2022)
Nathan Dahlin, Subhonmesh Bose, Venugopal V. Veeravalli
Controlling a Markov Decision Process with an Abrupt Change in the Transition Kernel. CoRR (2022)
Avinash N. Madavan, Nathan Dahlin, Subhonmesh Bose, Lang Tong
Conditional Value at Risk-Sensitive Solar Hosting Capacity Analysis in Distribution Networks. CoRR (2022)
Nathan Dahlin, Kevin Chang, Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers. Allerton (2022)
Nathan Dahlin, Rahul Jain
Scheduling of Flexible Non-Preemptive Loads. CoRR (2020)
Nathan Dahlin, Rahul Jain
A Risk Aware Two-Stage Market Mechanism for Electricity with Renewable Generation. CoRR (2020)
Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik, Rahul Jain, Pierluigi Nuzzo
Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees. CoRR (2020)
Nathan Dahlin, Rahul Jain
A Risk Aware Two-Stage Market Mechanism for Electricity with Renewable Generation. ACC (2020)
Nathan Dahlin, Rahul Jain
Scheduling of Flexible Non-Preemptive Loads. CDC (2020)
Nathan Dahlin, Rahul Jain
A Two-Stage Market Mechanism for Electricity with Renewable Generation. CDC (2019)
Nathan Dahlin, Rahul Jain
A Two Stage Stochastic Mechanism for Selling Random Power. ACC (2019)
Nathan Dahlin, Rahul Jain
A Two-Stage Market Mechanism for Electricity with Renewable Generation. CoRR (2019)
Nathan Dahlin, Rahul Jain
A Two Stage Mechanism For Selling Random Power. CoRR (2018)