Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...
Abstract: This study proposes a low-level radio frequency (LLRF) feedback control algorithm based on reinforcement learning (RL) using the soft actor–critic (SAC) and proximal policy optimization (PPO ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers have proposed a method for allowing reinforcement learning ...
A clean, well-documented reinforcement learning framework for training AI agents to play 2048. This project features multiple RL algorithms, comprehensive documentation, and professional code quality ...
Researchers at the US Department of Energy's Argonne National Laboratory and the University of Chicago are embarking on an innovative project to revolutionize electric vehicle (EV) charging. With the ...
VentureBeat presents: AI Unleashed - An exclusive executive event for enterprise data leaders. Network and learn with industry peers. Learn More DeepMind this week released Acme, a framework intended ...
CartPole is a classic control problem where the goal is to balance a pole hinged on a moving cart by applying forces to the cart to keep the pole upright. It is widely used as a benchmark for ...
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