Euler building (room A.002) -- Friday, 06 September 2019 at 11:00 (45 min.)
{
"name":"An outlook on deep reinforcement learning",
"description":"Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine. In this talk, I will provide an introduction to deep reinforcement learning models, algorithms and techniques. I will particularly focus on the aspects related to generalization of the learned policy to slightly different situations than the ones encountered during training.",
"startDate":"2019-09-06",
"endDate":"2019-09-06",
"startTime":"11:00",
"endTime":"11:45",
"location":"Euler building (room A.002)",
"label":"Add to my Calendar",
"options":[
"Apple",
"Google",
"iCal",
"Microsoft365",
"MicrosoftTeams",
"Outlook.com"
],
"timeZone":"Europe/Berlin",
"trigger":"click",
"inline":true,
"listStyle":"modal",
"iCalFileName":"Seminar-Reminder"
}
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine. In this talk, I will provide an introduction to deep reinforcement learning models, algorithms and techniques. I will particularly focus on the aspects related to generalization of the learned policy to slightly different situations than the ones encountered during training.
