Modi, Aditya

12 publications

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

JMLR 2024 Model-Free Representation Learning and Exploration in Low-Rank MDPs Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal

NeurIPSW 2023 Simple Data Sharing for Multi-Tasked Goal-Oriented Problems Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng

NeurIPSW 2023 Simple Data Sharing for Multi-Tasked Goal-Oriented Problems Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng

ICMLW 2023 Towards Modular Machine Learning Pipelines Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan

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

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

AAAI 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

UAI 2020 No-Regret Exploration in Contextual Reinforcement Learning Aditya Modi, Ambuj Tewari

AISTATS 2020 Sample Complexity of Reinforcement Learning Using Linearly Combined Model Ensembles Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder Singh

ICMLW 2019 Contextual Markov Decision Processes Using Generalized Linear Models Aditya Modi, Ambuj Tewari

ALT 2018 Markov Decision Processes with Continuous Side Information Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari