Sökning: "reinforcement learning"

Visar resultat 36 - 40 av 175 avhandlingar innehållade orden reinforcement learning.

1. 36. Learning-based Control for 4D Printing and Soft Robotics

   Författare :Qinglei Ji; Lei Feng; Lihui Wang; Xi Vincent Wang; Yong Chen; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 3D Printing; 4D Printing; Soft Robots; Machine Learning; Reinforcement Learning; Control; Production Engineering; Industriell produktion;

   Sammanfattning : Exploiting novel sensors and actuators made of flexible and smart materials becomes a new trend in robotics research. The studies on the design, production, and control of the new type of robots motivate the research fields of soft robots and 4D printed robots. LÄS MER

3. 37. Robustness During Learning, Interaction and Adaptation for Autonomous Driving

   Författare :Hannes Eriksson; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Reinforcement Learning; Epistemic Uncertainty; Uncertainty Quantification; Machine Learning; Autonomous Driving;

   Sammanfattning : In a sequential decision-making process, it is imperative to consider the potential risks of taking incorrect decisions throughout the whole process as all wrongdoings may not be possible to be remedied. This is particularly important when there are potentially catastrophic consequences. LÄS MER

4. 38. Efficient Communication via Reinforcement Learning

   Författare :Emil Carlsson; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Why do languages partition mental concepts into words the way the do? Recent works have taken a information-theoretic view on human language and suggested that it is shaped by the need for efficient communication. This means that human language is shaped by a simultaneous pressure for being informative, while also being simple in order to minimize the cognitive load. LÄS MER

5. 39. Reinforcement Learning and Optimal Adaptive Control for Structured Dynamical Systems

   Författare :Damianos Tranos; Alexandre Proutiere; Pontus Giselsson; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reinforcement Learning; Adaptive Control; Dynamical Systems; Control Theory; Control Engineering; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : In this thesis, we study the related problems of reinforcement learning and optimal adaptive control, specialized to specific classes of stochastic and structured dynamical systems. By stochastic, we mean systems that are unknown to the decision maker and evolve according to some probabilistic law. LÄS MER

7. 40. Towards a framework for reinforcement learning with artificial neural networks

   Författare :Peter Raicevic; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; aritficial neural networks; reinforcement learning; BCPNN; modularity; genetic algorithms; Computer science; Datavetenskap;

   Sammanfattning : .... LÄS MER