Through reinforcement learning, the algorithm considers positive and negative outcomes from previous charging sessions, such as meeting desired charge levels or exceeding peak thresholds.

Recently, researchers proposed a reinforcement learning-based initialization strategy that successfully overcomes the common 'desert plateau' problem in Variational Quantum Algorithms (VQA). This ...

WiMi's deep reinforcement learning-based task scheduling algorithm in cloud computing includes state representation, action selection, reward function and training and optimization of the algorithm.

The algorithm is designed to observe how well people with insulin-requiring diabetes respond to a particular insulin dose, and provide a recommended adjustment based on their body’s response.

Google DeepMind, which is famous as the developer of AlphaGo, has announced AI `` AlphaDev '' that applies deep reinforcement learning to improve various computing algorithms. At the same time, a ...

Richard S. Sutton, a prominent figure in reinforcement learning, developed several foundational algorithms for the field.