Sökning: "Johannes Andreas Stork"

Hittade 2 avhandlingar innehållade orden Johannes Andreas Stork.

1. 1. Representation and Learning for Robotic Grasping, Caging, and Planning

   Författare :Johannes Andreas Stork; Danica Kragic; Wolfram Burgard; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Grasping; Caging; Planning; State Representation; Optimization; Topology; Manipulation; Reinforcement Learning; Datalogi; Computer Science;

   Sammanfattning : Robots need to grasp, handle, and manipulate objects, navigate their environment, and understand the state of the world around them. Like all artificial intelligence agents, they have to make predictions, formulate goals, reason about actions, and make plans. LÄS MER

3. 2. Transfer Learning using low-dimensional Representations in Reinforcement Learning

   Författare :Isac Arnekvist; Danica Kragic; Johannes Andreas Stork; Christos Dimitrakakis; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

   Sammanfattning : Successful learning of behaviors in Reinforcement Learning (RL) are often learned tabula rasa, requiring many observations and interactions in the environment. Performing this outside of a simulator, in the real world, often becomes infeasible due to the large amount of interactions needed. LÄS MER