Essays about: "value iteration"

Showing result 1 - 5 of 19 essays containing the words value iteration.

  1. 1. Scaling up Maximum Entropy Deep Inverse Reinforcement Learning with Transfer Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Emil Broqvist Widham; [2020]
    Keywords : ;

    Abstract : In this thesis an issue with common inverse reinforcement learning algorithms is identified, which causes them to be computationally heavy. A solution is proposed which attempts to address this issue and which can be built upon in the future. READ MORE

  2. 2. Industry 4.0 and Lean – Possibilities, Challenges and Risk for Continuous Improvement : An explorative study of success factors for Industry 4.0 implementation

    University essay from Blekinge Tekniska Högskola; Blekinge Tekniska Högskola

    Author : Joel Larsson; Johan Wollin; [2020]
    Keywords : Industry 4.0; Lean; Continuous Improvement;

    Abstract : Lean, with its origin in the Japanese automotive production and Toyota, is broadly seen as the most adopted manufacturing philosophy since several decades. One of the core values of Lean is Continuous Improvements (CI). CI is about the many small, simple and cheap improvements, which everyone is involved in, every day. READ MORE

  3. 3. Automatic Classification of UML Sequence Diagrams from Images

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Sayf Rashid; [2019-11-12]
    Keywords : machine learning; feature selection; feature extraction; sequence diagrams; image classification;

    Abstract : Academia’s lack of UML artifacts has been an impediment in researching UML and its implication in software development. This has initiated the conception of the UML repository, which is a platform were researchers can share and study UML artifacts. To build such a repository it’s required to collect UML diagrams. READ MORE

  4. 4. Reinforcement Learning for Real Time Bidding

    University essay from Lunds universitet/Institutionen för datavetenskap

    Author : Erik Smith; [2019]
    Keywords : Reinforcement learning; Markov decision process; value iteration; policy gradient; real time bidding; Technology and Engineering;

    Abstract : When an internet user opens a web page containing an advertising slot, how is it determined which ad is shown? Today, the most common software-based approach to trading advertising slots is real time bidding: as soon as the user begins to load the web page, an auction for the slot is held in real time, and the highest bidder gets to display their advertisement of choice. Auction bidding is performed by different demand side platforms (DSPs). READ MORE

  5. 5. Tactical route planning in battlefield simulations with inverse reinforcement learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Emil Broqvist Widham; [2019]
    Keywords : ;

    Abstract : In this report Deep Maximum Entropy Inverse Reinforcement Learning has been applied to the problem of route planning in rough terrain, while taking tactical parameters into account. The tactical parameters that the report focuses on is to avoid detection from predetermined static observers by keeping blocking terrain in the sight line. READ MORE