Search for dissertations about: "agent learning"

Showing result 21 - 25 of 114 swedish dissertations containing the words agent learning.

  2. 21. Word Sense Embedded in Geometric Spaces - From Induction to Applications using Machine Learning

    Author : Mikael Kågebäck; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; word sense induction; word sense disambiguation; word embeddings; extractive summarisation; neural networks; deep learning; natural language procsessing; reinforcement learning;

    Abstract : Words are not detached individuals but part of a beautiful interconnected web of related concepts, and to capture the full complexity of this web they need to be represented in a way that encapsulates all the semantic and syntactic facets of the language. Further, to enable computational processing they need to be expressed in a consistent manner so that similar properties are encoded in a similar way. READ MORE

  4. 22. Time, space and control: deep-learning applications to turbulent flows

    Author : Luca Guastoni; Ricardo Vinuesa; Hossein Azizpour; Philipp Schlatter; Andrea Beck; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; turbulence; deep learning; deep reinforcement learning; flow control; turbulens; djupinlärning; djupförstärkningsinlärning; flödeskontroll; Teknisk mekanik; Engineering Mechanics;

    Abstract : In the present thesis, the application of deep learning and deep reinforcement learning to turbulent-flow simulations is investigated. Deep-learning models are trained to perform temporal and spatial predictions, while deep reinforcement learning is applied to a flow-control problem, namely the reduction of drag in an open channel flow. READ MORE

  5. 23. Regret Minimization in Structured Reinforcement Learning

    Author : Damianos Tranos; Alexandre Proutiere; Yevgeny Seldin; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reinforcement Learning; Electrical Engineering; Elektro- och systemteknik;

    Abstract : We consider a class of sequential decision making problems in the presence of uncertainty, which belongs to the field of Reinforcement Learning (RL). Specifically, we study discrete Markov decision Processes (MDPs) which model a decision maker or agent that interacts with a stochastic and dynamic environment and receives feedback from it in the form of a reward. READ MORE

  6. 24. Agent-based Transport Models as a Tool for Evaluating Mobility

    Author : Çaglar Tozluoglu; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Daily activity pattern; Activity-based modeling; Agent-based modeling; Activity generation;

    Abstract : The transportation system is undergoing fundamental transformations through emerging technologies. Some of these innovations have the potential to contribute to the sustainable transformation of the transportation system, such as electric vehicles (EVs) and shared autonomous electric vehicles (SEAVs). READ MORE

  7. 25. Developing and evaluating co-speech gesture-synthesis models for embodied conversational agents

    Author : Taras Kucherenko; Hedvig Kjellström; Gustav Eje Henter; Iolanda Leite; Jonas Beskow; Stefan Kopp; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Human-agent interaction; gesture generation; social robotics; conversational agents; non-verbal behavior; deep learning; machine learning; Computer Science; Datalogi;

    Abstract :  A  large part of our communication is non-verbal:   humans use non-verbal behaviors to express various aspects of our state or intent.  Embodied artificial agents, such as virtual avatars or robots, should also use non-verbal behavior for efficient and pleasant interaction. READ MORE