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ORCIDNathan Dahlin
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2020 – today
- 2024
[i10]Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar:
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning. CoRR abs/2408.09125 (2024)- 2023
- [c9]Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose:
Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces. AAAI 2023: 7902-7909 - [c8]Nathan Dahlin, Subhonmesh Bose, Venugopal V. Veeravalli:
Controlling a Markov Decision Process with an Abrupt Change in the Transition Kernel. ACC 2023: 3401-3408 - [c7]Kevin Chang, Nathan Dahlin, Rahul Jain, Pierluigi Nuzzo:
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers. CDC 2023: 7843-7848 - [c6]Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose, Umesh Vaidya:
Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach. ICML 2023: 13325-13352 - [i9]Kevin Chang, Nathan Dahlin, Rahul Jain, Pierluigi Nuzzo:
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers. CoRR abs/2304.06049 (2023) - [i8]Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar:
Conditional Kernel Imitation Learning for Continuous State Environments. CoRR abs/2308.12573 (2023) - 2022
- [j2]Nathan Dahlin
, Rahul Jain:
Scheduling Flexible Nonpreemptive Loads in Smart-Grid Networks. IEEE Trans. Control. Netw. Syst. 9(1): 14-24 (2022) - [j1]Nathan Dahlin, Rahul Jain:
Two-Stage Electricity Markets With Renewable Energy Integration: Market Mechanisms and Equilibrium Analysis. IEEE Trans. Control. Netw. Syst. 9(2): 823-834 (2022) - [c5]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: 1-8 - [i7]Avinash N. Madavan, Nathan Dahlin, Subhonmesh Bose, Lang Tong:
Conditional Value at Risk-Sensitive Solar Hosting Capacity Analysis in Distribution Networks. CoRR abs/2204.09096 (2022) - [i6]Nathan Dahlin, Subhonmesh Bose, Venugopal V. Veeravalli:
Controlling a Markov Decision Process with an Abrupt Change in the Transition Kernel. CoRR abs/2210.04098 (2022) - 2020
- [c4]Nathan Dahlin, Rahul Jain:
A Risk Aware Two-Stage Market Mechanism for Electricity with Renewable Generation. ACC 2020: 186-191 - [c3]Nathan Dahlin, Rahul Jain:
Scheduling of Flexible Non-Preemptive Loads. CDC 2020: 2567-2572 - [i5]Nathan Dahlin, Rahul Jain:
A Risk Aware Two-Stage Market Mechanism for Electricity with Renewable Generation. CoRR abs/2003.06119 (2020) - [i4]Nathan Dahlin, Rahul Jain:
Scheduling of Flexible Non-Preemptive Loads. CoRR abs/2003.13220 (2020) - [i3]Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik, Rahul Jain, Pierluigi Nuzzo:
Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees. CoRR abs/2010.14785 (2020)
2010 – 2019
- 2019
- [c2]Nathan Dahlin, Rahul Jain:
A Two Stage Stochastic Mechanism for Selling Random Power. ACC 2019: 2602-2607 - [c1]Nathan Dahlin, Rahul Jain:
A Two-Stage Market Mechanism for Electricity with Renewable Generation. CDC 2019: 5150-5155 - [i2]Nathan Dahlin, Rahul Jain:
A Two-Stage Market Mechanism for Electricity with Renewable Generation. CoRR abs/1909.00508 (2019) - 2018
- [i1]Nathan Dahlin, Rahul Jain:
A Two Stage Mechanism For Selling Random Power. CoRR abs/1809.09873 (2018)
Coauthor Index
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