Events

Public defence, Robotics and Autonomous Systems, MSc Yi Zhao

Learning versatile skills with sample-efficient reinforcement learning.
Public defence from the Aalto University School of Electrical Engineering, Department of Electrical Engineering and Automation.
Doctoral hat floating above a speaker's podium with a microphone.

In this event, we are committed to Aalto University’s principles for a safer space.

Principles for a safe space

Title of the thesis: Learning versatile skills with sample-efficient reinforcement learning

Thesis defender: Yi Zhao
Opponent: Prof. Olov Andersson, KTH, Sweden
Custos: Prof. Joni Pajarinen, Aalto University School of Electrical Engineering 

Thesis available for public display 7 days prior to the defence at Aalto University's public display page.

Doctoral theses of the School of Electrical Engineering

A large white 'A!' sculpture on the rooftop of the Undergraduate centre. A large tree and other buildings in the background.

Doctoral theses of the School of Electrical Engineering at Aaltodoc (external link)

Doctoral theses of the School of Electrical Engineering are available in the open access repository maintained by Aalto, Aaltodoc.

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