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Spring 2019

David Spies

We examine various techniques in SAT-based (Satisfiability) planningand explore how they can be applied and further improved in the contextof ASP (Answer Set Programming). First, we look at the 2006 plannerSATPlan and show that their encoding, when translated directly intoASP, enjoys a...

Fall 2022

Mihucz, Gábor

The motivation to incorporate planning, temporal abstraction and value function approximation in reinforcement learning (RL) algorithms is to reduce the amount of interaction with the environment needed to learn a near-optimal policy. Although each of these concepts has been under intense...

Fall 2024

Tjhia, Kenneth G

This thesis empirically investigates the comparative ease of learning policies and heuristics for bidirectional versus unidirectional search in satisficing classical planning. Our research explores the potential advantages of bidirectional search in terms of learnability and efficiency of the...

Spring 2024

Young, Kenneth J.

In this dissertation, I investigate how we can exploit generic problem structure to make reinforcement learning algorithms more efficient. Generic problem structure means basic structure that exists in a wide range of problems (e.g., an action taken in the present does not influence the past), as...

Spring 2023

Wang, Zeyi

The intent of this thesis is to develop a high-performance open-source system that plans with a learned model and to understand the algorithm through extensive analysis. We formulate the problem of maximizing accumulated rewards in Markov Decision Processes, and we frame playing games as such...

Fall 2023

Saleh, Esraa M M

Learning only by direct interaction with the world can be expensive in many real world applications. In such settings, Model-based Reinforcement Learning (MBRL) methods are a promising avenue towards data-efficiency. By planning with a model, a sequential decision making agent can decrease its...

Fall 2024

Shi, Wenlong

Climate change has become an urgent global concern in the 21st century. Such environmental variation has led to an increasing occurrence of natural disasters. For example, the continuing rises in global temperatures can bring about severe storms and wildfires. Consequently, electrical...