Aditya Modi - RankMe

21 papers A* 4A 2B 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Provably Learning from Language Feedback. CoRR Wanqiao Xu, Allen Nie, Ruijie Zheng, Aditya Modi, Adith Swaminathan, Ching-An Cheng
2024	A*	`conf`	How to Solve Contextual Goal-Oriented Problems with Offline Datasets? NeurIPS Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
2024	J	`jnl`	How to Solve Contextual Goal-Oriented Problems with Offline Datasets? CoRR Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
2024	J	`jnl`	Joint learning of linear time-invariant dynamical systems. Autom. Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2024	J	`jnl`	Model-Free Representation Learning and Exploration in Low-Rank MDPs. J. Mach. Learn. Res. Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
2022	J	`jnl`	Joint Learning-Based Stabilization of Multiple Unknown Linear Systems. CoRR Mohamad Kazem Shirani Faradonbeh, Aditya Modi
2022	A*	`conf`	On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL. NeurIPS Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
2022	J	`jnl`	On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL. CoRR Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
2021	J	`jnl`	Joint Learning of Linear Time-Invariant Dynamical Systems. CoRR Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2021	J	`jnl`	Model-free Representation Learning and Exploration in Low-rank MDPs. CoRR Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
2021	—	`—`	Provably Efficient Reinforcement Learning Under Linear Model Structures: From Tabular to Feature Based Exploration. Aditya Modi
2020	A*	`conf`	Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. ICML Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens
2020	J	`jnl`	Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. CoRR Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens
2020	A*	`conf`	Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. AAAI Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
2020	A	`conf`	No-regret Exploration in Contextual Reinforcement Learning. UAI Aditya Modi, Ambuj Tewari
2020	A	`conf`	Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. AISTATS Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder Singh
2019	J	`jnl`	Contextual Markov Decision Processes using Generalized Linear Models. CoRR Aditya Modi, Ambuj Tewari
2019	J	`jnl`	Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations. CoRR Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
2019	J	`jnl`	Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. CoRR Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder Singh
2018	B	`conf`	Markov Decision Processes with Continuous Side Information. ALT Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari
2017	J	`jnl`	Markov Decision Processes with Continuous Side Information. CoRR Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari