Learning Graph Weighted Models on Pictures. - Philip Amortila; Guillaume Rabusseau (ICGI, 2018)

Temporally Extended Metrics for Markov Decision Processes. - Philip Amortila; Marc G. Bellemare; Prakash Panangaden; Doina Precup (SafeAI@AAAI, 2019)

A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms. - Philip Amortila; Doina Precup; Prakash Panangaden; Marc G. Bellemare (AISTATS, 2020)

Constrained Markov Decision Processes via Backward Value Functions. - Harsh Satija; Philip Amortila; Joelle Pineau (ICML, 2020)

A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting. - Philip Amortila; Nan Jiang 008; Tengyang Xie (CoRR, 2020)

Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions. - Gellért Weisz; Philip Amortila; Csaba Szepesvári (ALT, 2021)

On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function. - Gellért Weisz; Philip Amortila; Barnabás Janzer; Yasin Abbasi-Yadkori; Nan Jiang 008; Csaba Szepesvári (COLT, 2021)

A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation. - Philip Amortila; Nan Jiang 008; Dhruv Madeka; Dean P. Foster (NeurIPS, 2022)

The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation. - Philip Amortila; Nan Jiang 008; Csaba Szepesvári (ICML, 2023)

Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning. - Philip Amortila; Tongyi Cao; Akshay Krishnamurthy (COLT, 2024)

Harnessing Density Ratios for Online Reinforcement Learning. - Philip Amortila; Dylan J. Foster; Nan Jiang 008; Ayush Sekhari; Tengyang Xie (ICLR, 2024)

Scalable Online Exploration via Coverability. - Philip Amortila; Dylan J. Foster; Akshay Krishnamurthy (ICML, 2024)

Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity. - Philip Amortila; Dylan J. Foster; Nan Jiang 008; Akshay Krishnamurthy; Zakaria Mhammedi (NeurIPS, 2024)

Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol. - Pai Liu; Lingfeng Zhao; Shivangi Agarwal; Jinghan Liu; Audrey Huang; Philip Amortila; Nan Jiang 008 (CoRR, 2025)