Aditya Modi

Affiliations:
  • Microsoft, USA
  • University of Michigan, Ann Arbor, MI, USA


According to our database1, Aditya Modi authored at least 11 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Joint Learning-Based Stabilization of Multiple Unknown Linear Systems.
CoRR, 2022

On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Provably Efficient Reinforcement Learning Under Linear Model Structures: From Tabular to Feature Based Exploration.
PhD thesis, 2021

Joint Learning of Linear Time-Invariant Dynamical Systems.
CoRR, 2021

Model-free Representation Learning and Exploration in Low-rank MDPs.
CoRR, 2021

2020
No-regret Exploration in Contextual Reinforcement Learning.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies.
Proceedings of the 37th International Conference on Machine Learning, 2020

Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Contextual Markov Decision Processes using Generalized Linear Models.
CoRR, 2019

2018
Markov Decision Processes with Continuous Side Information.
Proceedings of the Algorithmic Learning Theory, 2018


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