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Showing 1 to 2 of 2 for “"Gradient Temporal Difference"”.

  1. Adaptive dynamic programming with eligibility traces and complexity reduction of high-dimensional systems

    … programming (DHP). Moreover, a one-step temporal-difference (TD(0)) and <em>n</em>-step TD (TD(λ)) with their gradients are utilized as learning algorithms to train and online-adapt the families of ADP. The dissertation is organized into seven papers. The first paper demonstrates the …

    must-thes Repository record for Adaptive dynamic programming with eligibility traces and complexity reduction of high-dimensional systems (opens in a new tab)

  2. Designing policy optimization algorithms for multi-agent reinforcement learning

    … many data-driven algorithms in RL such as the gradient temporal difference learning and actor-critic algorithms essentially solve a bi-level optimization problem by tracking an artificial auxiliary variable in addition to the decision variable and updating them at different rates. We propose a …

    gatech Repository record for Designing policy optimization algorithms for multi-agent reinforcement learning (opens in a new tab)