Search Constraints

Start Over
Filtering by: Creator Watkins, Deane A. Remove constraint Creator: Watkins, Deane A. Subject Reinforcement learning Remove constraint Subject: Reinforcement learning

Search Results

  • Condensing observation of locale and agents : a state representation

    Creator:
    Valenti, Brett A
    Abstract:
    Computing agents require state information to make coherent and useful decisions. A state representation is a numerical translation of the environment and conditions that are pertinent factors in an agent's decision making. Although many representations, when paired with clever learning algorithms, are able to coordinate and capture prey in specific...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Brett A. Valenti for the degree

  • H-learning : a reinforcement learning method to optimize undiscounted average reward

    Creator:
    Oregon State University. Dept. of Computer Science, Tadepalli, Prasad, and Ok, DoKyeong
    Abstract:
    In this paper, we introduce a model-based reinforcement learning method called H-learning, which optimizes undiscounted average reward. We compare it with three other reinforcement learning methods in the domain of scheduling Automatic Guided Vehicles, transportation robots used in modern manufacturing plants and facilities. The four methods differ along two dimensions....
    Resource Type:
    Research Paper
    Full Text:
    using a simulator. Most approaches to reinforcement learning, including Q-learning [Watkins and Dayan

  • Reinforcement learning for job-shop scheduling

    Creator:
    Zhang, Wei, 1960-
    Resource Type:
    Dissertation
    Full Text:
    , Jaakkola et al., 1994, Sutton, 1988, Tsitsiklis, 1994, Watkins and Dayan, 1992] makes them attractive as a

  • Bayesian methods for knowledge transfer and policy search in reinforcement learning

    Creator:
    Wilson, Aaron
    Abstract:
    How can an agent generalize its knowledge to new circumstances? To learn effectively an agent acting in a sequential decision problem must make intelligent action selection choices based on its available knowledge. This dissertation focuses on Bayesian methods of representing learned knowledge and develops novel algorithms that exploit the represented...
    Resource Type:
    Dissertation
    Full Text:
    an agent acting in a sequential decision problem must make intelligent action selection choices

  • Adaptation-based programming

    Creator:
    Bauer, Tim
    Abstract:
    Partial programming is a field of study where users specify an outline or skeleton of a program, but leave various parts undefined. The undefined parts are then completed by an external mechanism to form a complete program. Adaptation-Based Programming (ABP) is a method of partial programming that utilizes techniques from...
    Resource Type:
    Dissertation
    Full Text:
    programming is a field of study where users specify an outline or skeleton of a pro­ gram, but leave various

  • Hierarchical structure discovery and transfer in sequential decision problems

    Creator:
    Mehta, Neville
    Abstract:
    Acting intelligently to efficiently solve sequential decision problems requires the ability to extract hierarchical structure from the underlying domain dynamics, exploit it for optimal or near-optimal decision-making, and transfer it to related problems instead of solving every problem in isolation. This dissertation makes three contributions toward this goal. The first...
    Resource Type:
    Dissertation
    Full Text:
    , off-policy learning algorithm that is a direct implementation of this Bellman equation (Watkins, 1989

  • Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

    Creator:
    Moissinac, Béatrice
    Abstract:
    Auctions are used to solve resource allocation problem between many agents and many items in real-world settings. Unfortunately, in most cases, it is possible for selfish agents to manipulate the system for their own interest at the expense of the social welfare. Such manipulation can be prevented using the Vickrey-Clarke-Groves...
    Resource Type:
    Masters Thesis
    Full Text:
    desirable outcomes in a congestion game. c©Copyright by Béatrice Moissinac November 22, 2013 All Rights