A reinforcement learning agent trained using Q-Learning to solve OpenAI Gym’s FrozenLake environment. The project demonstrates value-based learning, policy improvement, and exploration strategies in a ...
Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncated Policy Iteration, Value Iteration . From Udacity's Deep ...
An iterative displacement method working based on generalisation zones is proposed as a part of contextual building generalisation in topographic map production at medium scales. Displacement is very ...
This fifth iteration of the annual Disparities issue of Circulation is published amidst threats to health equity, challenges to the merits of diversity, and uncertainty in research funding. Toward a ...
Surface waves have proven to be valuable instruments in subsurface investigation, finding applications in diverse fields such as hydrocarbon and mineral resource exploration. The computation of ...
ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...
What if machines could not only learn but also teach themselves to become better with each iteration? This isn’t the plot of a sci-fi movie—it’s the reality unfolding in artificial intelligence ...
Abstract: In this article, we propose a novel online learning algorithm based on weighted policy iteration (WPI) for addressing optimal control problems of nonlinear systems. WPI is proposed to deal ...
Ethereum activated its long-awaited “Pectra” upgrade on Wednesday, marking the blockchain’s most significant overhaul since the Merge in 2022. The update aims to streamline staking, enhance wallet ...
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