WebThe subject of my thesis is "Hierarchical Imitation and Reinforcement Learning for Multi-Domain Task-Oriented Dialogue Management". I am committed to responsible and ethical research and sincerely wish to contribute to making AI more beneficial and robust for all. Before starting my thesis, I graduated with a master’s degree in engineering at french … WebTo explain social learning without invoking the cognitively complex concept of imitation, many learning mechanisms have been proposed. ... Learning by imitation: a …

(PDF) Hierarchical Imitation and Reinforcement Learning

WebLearning by imitation: A hierarchical approach Richard W. Byrne Scottish Primate Research Group, School of Psychology, University of St. Andrews, Fife KY16 9JU, … WebWhen learning multiple policies for related tasks, demonstrations can be reused between the tasks to further reduce the number of demonstrations needed to learn each new policy. We present HIL-MT, a framework for Multi-Task Hierarchical Imitation Learning, involving a human teacher, a networked Toyota HSR robot, and a cloud-based server that stores … green heart beauty bowl

Hierarchical Interpretable Imitation Learning for End-to-End …

Web18 de out. de 2024 · We demonstrate the first large-scale application of model-based generative adversarial imitation learning (MGAIL) to the task of dense urban self … Web10 de jun. de 2024 · Existing approaches like Hierarchical Imitation Learning (HIL) are prone to compounding errors or suboptimal solutions. In this paper, we propose Option … Web5 de nov. de 2024 · In this work, we propose a new imitation learning approach called Hierarchical Imitation Learning from Observation (HILONet), which adopts a hierarchical structure to choose feasible sub-goals from demonstrated observations dynamically. Our method can solve all kinds of tasks by achieving these sub-goals, whether it has a single … flutter remove unused packages