Fatemi, Mehdi

12 publications

ICLR 2024 A Dynamical View of the Question of Why Mehdi Fatemi, Sindhu C. M. Gowda

NeurIPS 2024 OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset Allen Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza, Markus Zhang, Sanjay Basu, Sriram Vishwanath, Mehdi Fatemi, Ravid Shwartz Ziv

ICML 2024 Successor Features for Efficient Multi-Subject Controlled Text Generation Meng Cao, Mehdi Fatemi, Jackie Ck Cheung, Samira Shabanian

ICLR 2023 Systematic Rectification of Language Models via Dead-End Analysis Meng Cao, Mehdi Fatemi, Jackie CK Cheung, Samira Shabanian

ICLR 2022 Orchestrated Value Mapping for Reinforcement Learning Mehdi Fatemi, Arash Tavakoli

CHIL 2022 Semi-Markov Offline Reinforcement Learning for Healthcare Mehdi Fatemi, Mary Wu, Jeremy Petch, Walter Nelson, Stuart J Connolly, Alexander Benz, Anthony Carnicelli, Marzyeh Ghassemi

ICLR 2021 Learning to Represent Action Values as a Hypergraph on the Action Vertices Arash Tavakoli, Mehdi Fatemi, Petar Kormushev

NeurIPS 2021 Medical Dead-Ends and Learning to Identify High-Risk States and Treatments Mehdi Fatemi, Taylor W Killian, Jayakumar Subramanian, Marzyeh Ghassemi

ICML 2021 Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm H Van Seijen, Mehdi Fatemi, Honglak Lee

ICML 2019 Dead-Ends and Secure Exploration in Reinforcement Learning Mehdi Fatemi, Shikhar Sharma, Harm Van Seijen, Samira Ebrahimi Kahou

NeurIPS 2019 Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning Harm Van Seijen, Mehdi Fatemi, Arash Tavakoli

NeurIPS 2017 Hybrid Reward Architecture for Reinforcement Learning Harm Van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang