Multi-Agent Reinforcement Learning for Handshakes


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Starting Date: earliest start: (2019-06-01) latest end: (2020-02-29)

Organization: Advanced Interactive Technologies

Involved Host(s): Stevsic Stefan

Abstract: In this thesis, the student should explore possibilities to train robot agents via multi-agent reinforcement learning. The aim is to train agents to perform handshake or different types of hand interactions.

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Reinforcement Learning Multi-Agent RL Human-Robot Interaction Control Systems Humanoid Hands


Labels: Semester Project Master Thesis CLS Student Project (MPG ETH CLS) ETH Organization's Labels (ETHZ)
Topics: Information, Computing and Communication Sciences Engineering and Technology
Applicant Organizations: ETH Zurich EPFL - Ecole Polytechnique Fédérale de Lausanne