[ 993MLPEDRLU20 ] UE Deep Reinforcement Learning

Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS M1 - Master's programme 1. year (*)Artificial Intelligence Sepp Hochreiter 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2021W
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 Regular assignments during the semester plus final exam
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