Mehdi Fatemi

According to our database, Mehdi Fatemi authored at least 27 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A systematic approach toward waste management: Problem-oriented Innovation System (PIS).

Alireza Ranjbar, Shohreh Nasri, Mehdi Fatemi, Sepehr Ghazinoory

Technol. Anal. Strateg. Manag., November, 2024

Smart city maturity models: A multidimensional synthesized approach.

Sepehr Ghazinoory, Jinus Roshandel, Fatemeh Parvin, Shohreh Nasri, Mehdi Fatemi

WIREs Data. Mining. Knowl. Discov., 2024

Linear Optimization Modeling for Smart Specialization in Primary Sectors of a Developing Country.

Mehdi Fatemi, Sepehr Ghazinoory, Shohreh Nasri, Mahdi Pakzad

IEEE Trans. Engineering Management, 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

CoRR, 2024

Successor Features for Efficient Multi-Subject Controlled Text Generation.

Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Dynamical View of the Question of Why.

Mehdi Fatemi, Sindhu C. M. Gowda

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Successor Features for Efficient Multisubject Controlled Text Generation.

Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung, Samira Shabanian

CoRR, 2023

Systematic Rectification of Language Models via Dead-end Analysis.

Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Orchestrated Value Mapping for Reinforcement Learning.

Mehdi Fatemi, Arash Tavakoli

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the Conference on Health, Inference, and Learning, 2022

2021

Medical Dead-ends and Learning to Identify High-Risk States and Treatments.

Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks.

Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning to Represent Action Values as a Hypergraph on the Action Vertices.

Arash Tavakoli, Mehdi Fatemi, Petar Kormushev

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare.

Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi

Proceedings of the Machine Learning for Health Workshop, 2020

2019

Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning.

Harm van Seijen, Mehdi Fatemi, Arash Tavakoli

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dead-ends and Secure Exploration in Reinforcement Learning.

Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Multi-Advisor Reinforcement Learning.

Romain Laroche, Mehdi Fatemi, Joshua Romoff, Harm van Seijen

CoRR, 2017

Observability of stochastic complex networks under the supervision of cognitive dynamic systems.

Mehdi Fatemi, Peyman Setoodeh, Simon Haykin

J. Complex Networks, 2017

Hybrid Reward Architecture for Reinforcement Learning.

Harm van Seijen, Mehdi Fatemi, Romain Laroche, Joshua Romoff, Tavian Barnes, Jeffrey Tsang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Improving Scalability of Reinforcement Learning by Separation of Concerns.

Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche

CoRR, 2016

Policy Networks with Two-Stage Training for Dialogue Systems.

Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, Kaheer Suleman

Proceedings of the SIGDIAL 2016 Conference, 2016

2014

Improving Observability of Stochastic Complex Networks under the Supervision of Cognitive Dynamic Systems.

Mehdi Fatemi, Peyman Setoodeh, Simon Haykin

CoRR, 2014

Cognitive Control: Theory and Application.

Mehdi Fatemi, Simon Haykin

IEEE Access, 2014

Cognitive control in cognitive dynamic systems: A new way of thinking inspired by the brain.

Simon Haykin, Ashkan Amiri, Mehdi Fatemi

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2012

Cognitive Control.

Simon Haykin, Mehdi Fatemi, Peyman Setoodeh, Yanbo Xue

Proc. IEEE, 2012

2009

Toward a general control design paradigm for hybrid systems: Ideas, concepts, and formulations.

Mehdi Fatemi, Jim Millan, Tina Yu, Siu O'Young

Proceedings of the 22nd Canadian Conference on Electrical and Computer Engineering, 2009

2005

New Enhanced Methods for Radial Basis Function Neural Networks in Function Approximation.

Mehdi Fatemi, Mehdi Roopaei, Faridoon Shabaninia

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005