Inhalt

[ 993MLPEDRLU20 ] UE Deep Reinforcement Learning

Versionsauswahl
Es ist eine neuere Version 2021W dieser LV im Curriculum Master's programme Artificial Intelligence 2023W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS M1 - Master's programme 1. year Computer Science Sepp Hochreiter 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2020W
Objectives This course will show practical applications and implementations of the contents of the “Deep Reinforcement Learning (3 VL)” class. Programming assignments will be done in Python using the PyTorch framework.
Subject Students will exercise the theory presented in the accompanying lecture and solve programming assignments.
Criteria for evaluation
Language English
Changing subject? No
Corresponding lecture in collaboration with 993MLPEDRLV20: VL Deep Reinforcement Learning (3 ECTS) equivalent to
993MLPEDRLK19: KV Deep Reinforcement Learning (4.5 ECTS)
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment