CORDIS Project
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This project focuses on improving reinforcement learning algorithms to enhance their generalization capabilities in decision-making tasks. By developing new architectures and exploration strategies, it aims to create models that can adapt to changing environments effectively.
Reinforcement learning (RL) is an appealing framework for solving decision-making problems, notably because it makes few assumptions about the problem at hand.
In its purest form, the promise of an RL algorithm is to learn an optimal behavior from interaction with an unknown environment.
There has been a plethora of empirical successes in real-world applications ranging from games to robotics.
However, most of these achievements have required a dedicated training, and the learned behaviors have…
UNIVERSITE DE LIEGE
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Canada, Montreal
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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