Abdelrahman Abdelgawad

Abdelrahman Abdelgawad

PhD Student at Boston University working on certified neural control and multi-objective reinforcement learning for safety-critical robotic systems.

Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic

Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

We introduce Fulfillment Priority Logic (FPL), a logic transforming declarative policy behavior descriptions into utility functions through principled algebraic transformations. Our Balanced Policy Gradient algorithm leverages FPL specifications to achieve up to 500% better sample efficiency compared to Soft Actor-Critic.

Recommended citation: B. El Mabsout*, A. Abdelgawad*, R. Mancuso. "Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025. (*equal contribution)
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