Mehdi Fatemi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 30

Top Topics

Dynamic Systems

Function Approximation

Eligibility Traces

Top Venues

Publications

Sepehr Ghazinoory, Jinus Roshandel, Fatemeh Parvin, Shohreh Nasri, Mehdi Fatemi
Smart city maturity models: A multidimensional synthesized approach. WIREs Data. Mining. Knowl. Discov. 14 (1) (2024)
Mehdi Fatemi, Sindhu C. M. Gowda
A Dynamical View of the Question of Why. ICLR (2024)
Mehdi Fatemi, Sindhu Gowda
A Dynamical View of the Question of Why. CoRR (2024)
Mehdi Fatemi, Sepehr Ghazinoory, Shohreh Nasri, Mahdi Pakzad
Linear Optimization Modeling for Smart Specialization in Primary Sectors of a Developing Country. IEEE Trans. Engineering Management 71 (2024)
Allen Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza, Markus Zhang, Sanjay Basu, Sriram Vishwanath, Mehdi Fatemi, Ravid Schwartz-Ziv
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset. CoRR (2024)
Meng Cao, Mehdi Fatemi, Jackie CK Cheung, Samira Shabanian
Systematic Rectification of Language Models via Dead-end Analysis. ICLR (2023)
Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung, Samira Shabanian
Systematic Rectification of Language Models via Dead-end Analysis. CoRR (2023)
Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung, Samira Shabanian
Successor Features for Efficient Multisubject Controlled Text Generation. CoRR (2023)
Mehdi Fatemi, Arash Tavakoli
Orchestrated Value Mapping for Reinforcement Learning. CoRR (2022)
Mehdi Fatemi, Arash Tavakoli
Orchestrated Value Mapping for Reinforcement Learning. ICLR (2022)
Mehdi Fatemi, Mary Wu, Jeremy Petch, Walter Nelson, Stuart J. Connolly, Alexander Benz, Anthony Carnicelli, Marzyeh Ghassemi
Semi-Markov Offline Reinforcement Learning for Healthcare. CoRR (2022)
Mehdi Fatemi, Mary Wu, Jeremy Petch, Walter Nelson, Stuart J. Connolly, Alexander Benz, Anthony Carnicelli, Marzyeh Ghassemi
Semi-Markov Offline Reinforcement Learning for Healthcare. CHIL (2022)
Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. ICML (2021)
Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi
Medical Dead-ends and Learning to Identify High-Risk States and Treatments. NeurIPS (2021)
Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi
Medical Dead-ends and Learning to Identify High-risk States and Treatments. CoRR (2021)
Arash Tavakoli, Mehdi Fatemi, Petar Kormushev
Learning to Represent Action Values as a Hypergraph on the Action Vertices. ICLR (2021)
Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. CoRR (2021)
Arash Tavakoli, Mehdi Fatemi, Petar Kormushev
Learning to Represent Action Values as a Hypergraph on the Action Vertices. CoRR (2020)
Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. ML4H@NeurIPS (2020)
Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. CoRR (2020)
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. NeurIPS (2019)
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. CoRR (2019)
Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou
Dead-ends and Secure Exploration in Reinforcement Learning. ICML (2019)
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang
Hybrid Reward Architecture for Reinforcement Learning. CoRR (2017)
Romain Laroche, Mehdi Fatemi, Joshua Romoff, Harm van Seijen
Multi-Advisor Reinforcement Learning. CoRR (2017)
Harm van Seijen, Mehdi Fatemi, Romain Laroche, Joshua Romoff, Tavian Barnes, Jeffrey Tsang
Hybrid Reward Architecture for Reinforcement Learning. NIPS (2017)
Mehdi Fatemi, Peyman Setoodeh, Simon Haykin
Observability of stochastic complex networks under the supervision of cognitive dynamic systems. J. Complex Networks 5 (3) (2017)
Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, Kaheer Suleman
Policy Networks with Two-Stage Training for Dialogue Systems. CoRR (2016)
Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, Kaheer Suleman
Policy Networks with Two-Stage Training for Dialogue Systems. SIGDIAL Conference (2016)
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche
Improving Scalability of Reinforcement Learning by Separation of Concerns. CoRR (2016)
Mehdi Fatemi, Simon Haykin
Cognitive Control: Theory and Application. IEEE Access 2 (2014)
Mehdi Fatemi, Peyman Setoodeh, Simon Haykin
Improving Observability of Stochastic Complex Networks under the Supervision of Cognitive Dynamic Systems. CoRR (2014)
Simon Haykin, Ashkan Amiri, Mehdi Fatemi
Cognitive control in cognitive dynamic systems: A new way of thinking inspired by the brain. ADPRL (2014)
Simon Haykin, Mehdi Fatemi, Peyman Setoodeh, Yanbo Xue
Cognitive Control. Proc. IEEE 100 (12) (2012)
Mehdi Fatemi, Jim Millan, Tina Yu, Siu O'Young
Toward a general control design paradigm for hybrid systems: Ideas, concepts, and formulations. CCECE (2009)
Mehdi Fatemi, Mehdi Roopaei, Faridoon Shabaninia
New Enhanced Methods for Radial Basis Function Neural Networks in Function Approximation. HIS (2005)