Research

My research interests lie in reinforcement learning, with a focus on real-world decision-making and its application to robot learning. I am particularly interested in approaches such as hierarchical reinforcement learning and model-based reinforcement learning, which enable agents to tackle long-horizon, high-dimensional tasks in ways that resemble and potentially surpass human problem solving. The aim is to explore how these techniques can be applied, generalizing across diverse tasks and environments.

My current focus includes the following research directions:

• -: -
• -: -
• -: -

-