Aditya Modi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Markov Decision Process

Exploration Exploitation

Reinforcement Learning

Top Venues

Publications

Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
Joint learning of linear time-invariant dynamical systems. Autom. 164 (2024)
Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL. NeurIPS (2022)
Mohamad Kazem Shirani Faradonbeh, Aditya Modi
Joint Learning-Based Stabilization of Multiple Unknown Linear Systems. CoRR (2022)
Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL. CoRR (2022)
Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
Model-free Representation Learning and Exploration in Low-rank MDPs. CoRR (2021)
Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
Joint Learning of Linear Time-Invariant Dynamical Systems. CoRR (2021)
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)
Aditya Modi, Ambuj Tewari
No-regret Exploration in Contextual Reinforcement Learning. UAI (2020)
Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder P. Singh
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. AISTATS (2020)
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)
Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. CoRR (2020)
Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder P. Singh
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. CoRR (2019)
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 (2019)
Aditya Modi, Ambuj Tewari
Contextual Markov Decision Processes using Generalized Linear Models. CoRR (2019)
Aditya Modi, Nan Jiang, Satinder P. Singh, Ambuj Tewari
Markov Decision Processes with Continuous Side Information. ALT (2018)
Aditya Modi, Nan Jiang, Satinder P. Singh, Ambuj Tewari
Markov Decision Processes with Continuous Side Information. CoRR (2017)