2 citations · 3 across the 2 of their papers we have counts for
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cs.AI2026
Bridging Learned Visual Perception and Symbolic Belief-Space Planning
Guy Azran, Michael Navat, Sarah Keren
In partially observable settings, agents must act without full knowledge of the world state and rely on uncertain state-estimation pipelines. Obtaining grounded and verifiable symb…
cs.AI2023★ 1 cited
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht +1
Recent studies show that deep reinforcement learning (DRL) agents tend to overfit to the task on which they were trained and fail to adapt to minor environment changes. To expedite…