Sökning: "Learning from Demonstrations"
Visar resultat 1 - 5 av 18 uppsatser innehållade orden Learning from Demonstrations.
1. 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
2. Using Imitation Learning for Human Motion Control in a Virtual Simulation
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskapSammanfattning : Test Automation is becoming a more vital part of the software development cycle, as it aims to lower the cost of testing and allow for higher test frequency. However, automating manual tests can be difficult as they tend to require complex human interaction. LÄS MER
3. Learning a Reactive Task Plan from Human Demonstrations : Building Behavior Trees using Learning from Demonstration and Planning Constraints
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Robot programming can be an expensive and tedious task and companies may have to employ dedicated staff. A promising framework that can alleviate some of the most repetitive tasks and potentially make robots more accessible to non-experts is Learning from Demonstration (LfD). 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. Tuning an MPC-based Motion Planner using Imitation Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Model Predictive Control, MPC, is one of the most commonly used controllers today. They are well understood with a vastly researched theoretical background. One of the core strengths of MPC is that it is possible to provide safety guarantees for complex systems through the constraints enforced in the optimization problem. LÄS MER