Sökning: "Imitationsinlärning"
Visar resultat 1 - 5 av 11 uppsatser innehållade ordet Imitationsinlärning.
1. Imitation Learning on Branching Strategies for Branch and Bound Problems
Master-uppsats, KTH/Matematisk statistikSammanfattning : A new branch of machine and deep learning models has evolved in constrained optimization, specifically in mixed integer programming problems (MIP). These models draw inspiration from earlier solver methods, primarily the heuristic, branch and bound. LÄS MER
2. Playstyle Generation with Multimodal Generative Adversarial Imitation Learning : Style-reward from Human Demonstration for Playtesting Agents
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Playtesting plays a crucial role in video game production. The presence of gameplay issues and faulty design choices can be of great detriment to the overall player experience. LÄS MER
3. On the Efficiency of Transfer Learning in a Fighter Pilot Behavior Modelling Context
Master-uppsats, KTH/Matematik (Inst.)Sammanfattning : Creating realistic models of human fighter pilot behavior is made possible with recent deep learning techniques. However, these techniques are often highly dependent on large datasets, often unavailable in many settings, or expensive to produce. LÄS MER
4. Conditional Imitation Learning for Autonomous Driving : Comparing two approaches
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Syftet med denna studie var att bygga, träna och testa two olika självkörande agenter med hjälp av maskininlärningstekniker, specifikt neurala nätverk. För att träna agenterna användes en teknik kallad Imitationsinlärning. LÄS MER
5. Skill Imitation Learning on Dual-arm Robotic Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A control system used to control two Panda Franka Emika robots online and simultaneously with two HTC Vive controllers is presented, with the primary purpose of demonstrating tasks for robots. The system is validated by learning from demonstration/imitation learning task via Principle Component Analysis (PCA). LÄS MER