Apr 11, 2024 ¡¤ Another example is Policy Gradient Methods. They offer an alternative approach within model-free learning, optimizing policy parameters directly to maximize ...

5 days ago ¡¤ Vanilla policy gradient methods lack robustness, and implementing TRPO can be demanding, particularly in complex numerical simulations, where challenges like ...

Nov 21, 2023 ¡¤ A policy can be optimized to maximize returns by directly estimating the policy gradient ... Sammut, Claude; Webb, Geoffrey I. (eds.), Encyclopedia of ...

Mar 28, 2024 ¡¤ Policy gradient method: A reinforcement learning method that optimizes parameterized policies with respect to long-term cumulative reward.

Mar 26, 2024 ¡¤ This paper proposes a path planning framework that combines the experience replay mechanism from deep reinforcement learning (DRL) and rapidly exploring random ...

Mar 30, 2024 ¡¤ Machine learning models substantially outperform existing algorithms based on ICD codes in predicting low acuity ED visits.

Aug 15, 2024 ¡¤ A survey of work in reinforcement learning for behavior generation in robots. We highlight both key challenges in robot reinforcement learning as well as ...

Jul 29, 2024 ¡¤ This study presents a literature review of the use of DM and ML techniques in key areas of BEM, including building performance evaluation, energy usage ...

Missing: Methods. | Show results with:Methods.

Jul 31, 2024 ¡¤ In this study, we develop systematic methods, applying statistical analysis and dynamical-systems theory, to reduce parameter count in a biophysical model.