In this article, we propose a new model-free algorithm that backpropagates a local quadratic time-dependent Q-Function, allowing the derivation of the policy ...
Jan 16, 2022 · This paper presents a model-free tracking control strategy for an AUV in the presence of unknown disturbances.
Jul 14, 2021 · We present a general, two-stage reinforcement learning approach to create robust policies that can be deployed on real robots without any additional training.
A new model-free algorithm is proposed that backpropagates a local quadratic time-dependent Q-Function, allowing the derivation of the policy update in ...
Abstract. Many of the recent trajectory optimization algorithms alternate between linear approxi- mation of the system dynamics around the mean trajectory ...
Sep 14, 2023 · We develop a model-free, machine-learning framework to control a two-arm robotic manipulator using only partially observed states.
We present a general, two-stage reinforcement learning approach to create robust policies that can be deployed on real robots without any additional training.
Many of the recent Trajectory Optimization algorithms alternate between local approximation of the dynamics and conservative policy update.
Jul 7, 2016 · In this article, we propose a new model-free algorithm that backpropagates a local quadratic time-dependent Q-Function, allowing the derivation ...
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Model-free trajectory optimization for reinforcement learning ; Publikationsjahr, 2016 ; Sprache, Englisch ; Identifikator, ISBN: 978-151082900-8 KITopen-ID: ...
