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Faisal Mohamed

2 accepted papers

2026

ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning

ICLR 2026poster

Reinforcement learning (RL) algorithms are highly sensitive to reward function specification, which remains a central challenge limiting their broad applicability. We present ARM-FM: Automated Reward Machines via Foundation Models, a framework for automated, compositional reward design in RL that le…

Cited by 0SourceScholar
2026

Discovering Diverse Behaviors via Temporal Contrastive Learning

ICLR 2026poster

Effective exploration in reinforcement learning requires not only tracking where an agent has been, but also understanding how the agent perceives and represents the world. To learn powerful representations, an agent should actively explore states that contribute to its knowledge of the environment.…

Cited by 0SourceScholar