Markov Decision Processes with Continuous Side Information. - Aditya Modi 002; Nan Jiang 008; Satinder Singh 001; Ambuj Tewari (ALT, 2018)

Contextual Markov Decision Processes using Generalized Linear Models. - Aditya Modi 002; Ambuj Tewari (CoRR, 2019)

Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. - Aditya Modi 002; Debadeepta Dey; Alekh Agarwal; Adith Swaminathan; Besmira Nushi; Sean Andrist; Eric Horvitz (AAAI, 2020)

Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. - Aditya Modi 002; Nan Jiang 008; Ambuj Tewari; Satinder Singh 001 (AISTATS, 2020)

Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. - Shengpu Tang; Aditya Modi 002; Michael W. Sjoding; Jenna Wiens (ICML, 2020)

No-regret Exploration in Contextual Reinforcement Learning. - Aditya Modi 002; Ambuj Tewari (UAI, 2020)

Provably Efficient Reinforcement Learning Under Linear Model Structures: From Tabular to Feature Based Exploration. - Aditya Modi 002 (2021)

On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL. - Jinglin Chen; Aditya Modi 002; Akshay Krishnamurthy; Nan Jiang 008; Alekh Agarwal (NeurIPS, 2022)

Joint Learning-Based Stabilization of Multiple Unknown Linear Systems. - Mohamad Kazem Shirani Faradonbeh; Aditya Modi 002 (CoRR, 2022)

How to Solve Contextual Goal-Oriented Problems with Offline Datasets? - Ying Fan; Jingling Li; Adith Swaminathan; Aditya Modi 002; Ching-An Cheng (NeurIPS, 2024)

Joint learning of linear time-invariant dynamical systems. - Aditya Modi 002; Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (Autom., 2024)

Model-Free Representation Learning and Exploration in Low-Rank MDPs. - Aditya Modi 002; Jinglin Chen; Akshay Krishnamurthy; Nan Jiang 008; Alekh Agarwal (J. Mach. Learn. Res., 2024)

Provably Learning from Language Feedback. - Wanqiao Xu; Allen Nie; Ruijie Zheng; Aditya Modi 002; Adith Swaminathan; Ching-An Cheng (CoRR, 2025)