Junyent Barbany, Miquel (Date of defense: 2021-10-15)
Optimal sequential decision making is a fundamental problem to many diverse fields. In recent years, Reinforcement Learning (RL) methods have experienced unprecedented success, largely enabled by the ...
Steccanella, Lorenzo (Date of defense: 2023-05-19)
Hierarchical Reinforcement Learning (HRL) has the potential to simplify the solution of environments with long horizons and sparse rewards. The idea behind HRL is to decompose a complex decision-making ...
Segovia Aguas, Javier (Date of defense: 2018-10-05)
Generalized planning is the problem of finding an algorithm-like solution called generalized plan to multiple planning instances. The two main tasks to perform in generalized planning are synthesizing ...
Lotinac, Damir (Date of defense: 2017-12-14)
Classical planning is the problem of finding a sequence of actions, from a given initial state to some goal state. While, in generalized planning, a plan is a solution to a set of planning problems, ...