Motion control of humanoid robots is becoming the next hot research area for the application of reinforcement learning (RL) ...

徐尔瀚，伦敦政治经济学院 (LSE)统计系在读一年级博士，师从史成春教授。主要研究方向包括强化学习，大语言模型的微调与优化。目前主要的研究方向为统计学方法与大预言模型的交叉应用。

Most of the time, these reinforcement learning algorithms are integrated with deep learning algorithms to create deep reinforcement learning algorithms that can handle more complex tasks.

AI algorithms for deep-reinforcement learning have demonstrated the ability to learn at very high levels in constrained domains.

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonogloux, Matthew Lai, Arthur Guez, Marc ...

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.

Researchers propose a method that allows reinforcement learning algorithms to accumulate knowledge while erring on the side of caution.