Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 6 of 6 for “"Goal Inference"”.
-
Goal Inference from Open-Ended Dialog
… learn about and accomplish a wide range of user goals and preferences efficiently and robustly. Large Language Models (LLMs) are often used as they allow for opportunities for rich and open-ended dialog type interaction between the human and agent to accomplish tasks according to human …
-
Neural Bayesian goal inference for symbolic planning domains
… one may aim to infer the short- and long-term goals of agents in diverse physical domains. As increasingly powerful autonomous systems come into development, it is conceivable that they may eventually need to accurately infer the goals of humans. There are also more immediate reasons for which …
-
Monte Carlo Methods for Motion Planning and Goal Inference
… the different possibilities in a given goal-driven navigation scenario. To address these needs, we introduce a framework that captures the stochastic nature of motion planning and prediction through Monte Carlo sampling techniques. We ensure (1) by shifting the focus from pure trajectory …
-
PDDL.jl: An Extensible Interpreter and Compiler Interface for Fast and Flexible AI Planning
… Bayesian inverse planning for value learning and goal inference.
-
Bayesian Theory of Mind : modeling human reasoning about beliefs, desires, goals, and social relations
… - beliefs, desires, intentions, knowledge, goals, preferences, emotions, and other thoughts - to explain others' behavior. The goal of this thesis is to provide a formal account of the knowledge and mechanisms that support these judgments. The thesis will argue for three central claims about …
-
Online Action Selection Methods for Multi-Agent Navigation
… have to move from their start positions to their goal locations while avoiding collisions with other agents and any static element in the environment. Existing methods either compute the motion of each agent centrally or allow each agent to compute its own motion. Using a central controller limits …