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ORCIDAditya Modi 0002
Person information
- affiliation: Microsoft, USA
- affiliation: University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Aditya Modi 0001 — GE Infra Energy, Mumbai, Maharastra, India
- Aditya Modi 0003 — SRM Institute of Science and Technology, Chennai, India
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Books and Theses
- 2021
[b1]Aditya Modi:
Provably Efficient Reinforcement Learning Under Linear Model Structures: From Tabular to Feature Based Exploration. University of Michigan, USA, 2021
Conference and Workshop Papers
- 2022
- [c6]Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal:
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL. NeurIPS 2022 - 2020
- [c5]Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz:
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. AAAI 2020: 5207-5215 - [c4]Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder Singh:
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. AISTATS 2020: 2010-2020 - [c3]Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens:
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. ICML 2020: 9387-9396 - [c2]Aditya Modi, Ambuj Tewari:
No-regret Exploration in Contextual Reinforcement Learning. UAI 2020: 829-838 - 2018
- [c1]Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari:
Markov Decision Processes with Continuous Side Information. ALT 2018: 597-618
Informal and Other Publications
- 2022
- [i9]Mohamad Kazem Shirani Faradonbeh, Aditya Modi:
Joint Learning-Based Stabilization of Multiple Unknown Linear Systems. CoRR abs/2201.01387 (2022) - [i8]Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal:
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL. CoRR abs/2206.10770 (2022) - 2021
- [i7]Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal:
Model-free Representation Learning and Exploration in Low-rank MDPs. CoRR abs/2102.07035 (2021) - [i6]Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis:
Joint Learning of Linear Time-Invariant Dynamical Systems. CoRR abs/2112.10955 (2021) - 2020
- [i5]Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens:
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. CoRR abs/2007.12678 (2020) - 2019
- [i4]Aditya Modi, Ambuj Tewari:
Contextual Markov Decision Processes using Generalized Linear Models. CoRR abs/1903.06187 (2019) - [i3]Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz:
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations. CoRR abs/1905.05179 (2019) - [i2]Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder Singh:
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. CoRR abs/1910.10597 (2019) - 2017
- [i1]Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari:
Markov Decision Processes with Continuous Side Information. CoRR abs/1711.05726 (2017)
Coauthor Index
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