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Filtering by: Committee Member Saletore, Vikram Remove constraint Committee Member: Saletore, Vikram Creator Ok, Dokyeong Remove constraint Creator: Ok, Dokyeong

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  • A study of model-based average reward reinforcement learning

    Creator:
    Ok, DoKyeong
    Abstract:
    Reinforcement Learning (RL) is the study of learning agents that improve their performance from rewards and punishments. Most reinforcement learning methods optimize the discounted total reward received by an agent, while, in many domains, the natural criterion is to optimize the average reward per time step. In this thesis, we...
    Resource Type:
    Dissertation