Aditya Modi

According to our database, Aditya Modi authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model-Free Representation Learning and Exploration in Low-Rank MDPs.

Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal

J. Mach. Learn. Res., 2024

How to Solve Contextual Goal-Oriented Problems with Offline Datasets?

Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng

CoRR, 2024

Joint learning of linear time-invariant dynamical systems.

Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis

Autom., 2024

2022

Joint Learning-Based Stabilization of Multiple Unknown Linear Systems.

Mohamad Kazem Shirani Faradonbeh, Aditya Modi

CoRR, 2022

On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL.

Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal

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.

Aditya Modi

PhD thesis, 2021

2020

No-regret Exploration in Contextual Reinforcement Learning.

Aditya Modi, Ambuj Tewari

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.

Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens

Proceedings of the 37th International Conference on Machine Learning, 2020

Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles.

Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder Singh

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.

Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Contextual Markov Decision Processes using Generalized Linear Models.

Aditya Modi, Ambuj Tewari

CoRR, 2019

2018

Markov Decision Processes with Continuous Side Information.

Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari

Proceedings of the Algorithmic Learning Theory, 2018