Guaranteeing control requirements via reward sha** in reinforcement learning

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Comprehensive overview of reward engineering and sha** in advancing reinforcement learning applications

S Ibrahim, M Mostafa, A Jnadi, H Salloum… - IEEE …, 2024 - ieeexplore.ieee.org
Reinforcement Learning (RL) seeks to develop systems capable of autonomous decision-
making by learning through interaction with their environment. Central to this process are …
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Data-driven architecture to encode information in the kinematics of robots and artificial avatars

F De Lellis, M Coraggio, NC Foster, R Villa… - arxiv preprint arxiv …, 2024 - arxiv.org
We present a data-driven control architecture for modifying the kinematics of robots and
artificial avatars to encode specific information such as the presence or not of an emotion in …
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