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Christos Vlachos

2 accepted papers

2024

Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems

ACL 2024findings

Creating effective and reliable task-oriented dialog systems (ToDSs) is challenging, not only because of the complex structure of these systems, but also due to the scarcity of training data, especially when several modules need to be trained separately, each one with its own input/output training e…

Cited by 1SourcePDFScholar
2023

Reinforcement Learning-Based Optimal Multiple Waypoint Navigation

ICRA 2023poster

In this paper, a novel method based on Artificial Potential Field (APF) theory is presented, for optimal motion planning in fully-known, static workspaces, for multiple final goal configurations. Optimization is achieved through a Reinforcement Learning (RL) framework. More specifically, the paramet…

Cited by 2SourceScholar