Publications
Peer-Reviewed Journal Articles
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Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, and Michael Bowling,
"Learning to Be Cautious,"
Transactions on Machine Learning Research (TMLR), 2025.
paper | code | bibtex | talk
Refereed Conference Publications
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Montaser Mohammedalamen and Michael Bowling,
"Generalization in Monitored Markov Decision Processes (Mon-MDPs),"
Reinforcement Learning Conference (RLC), Montreal, Canada, 2026.
arXiv | code | bibtex | talk
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Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, and Michael Bowling,
"Monitored Markov Decision Processes,"
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Auckland, New Zealand, 2024.
paper | code | bibtex | talk
Workshop Papers & Preprints
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Montaser Mohammedalamen, K. Roice, R. McLean, A. Lefaivre Škopac,
"A Systematic Investigation of The RL-Jailbreaker in LLMs,"
Agents in the Wild: Safety, Security, and Beyond Workshop, ICML, 2026.
arXiv
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R. McLean, T. E. Lee, Montaser Mohammedalamen, K. Roice, G. Berseth, P. M. Pilarski, M. C. Machado, A. Lefaivre Škopac, B. Rosman,
"AI Agent Safety is a Reinforcement Learning Problem,"
Agents in the Wild: Safety, Security, and Beyond Workshop, ICML, 2026.
paper
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Montaser Mohammedalamen, Michael Bowling, and Matthew E. Taylor,
"Learning To Be Cautious for Industrial Chemical Control,"
Under review.
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D. Khamies, Montaser Mohammedalamen, and B. Rosman,
"Transfer Learning for Prosthetics Using Imitation Learning,"
Black in AI Workshop, NeurIPS, 2018.
arXiv | code | bibtex
Theses
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Montaser Mohammedalamen,
"Reinforcement Learning with Partially Observable Rewards,"
PhD Thesis, University of Alberta, 2026.
thesis
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Montaser Mohammedalamen,
"Learning Actions Representation In Reinforcement Learning for Safe Exploration,"
Master's Thesis, 2019.