Reinforcement Learning

The coordination behavior level used reinforcement learning to strengthen the robots' intelligence.

协调行为层应用强化学习法增强了机器人群体的智能性；

Research on Multi Agent Reinforcement Learning Based Dynamic Coordination Mechanism for Wartime Spares Support

基于多Agent强化学习的战时备件供应保障动态协调机制

A multi-agent coordination model and corresponding algorithm based on distributed reinforcement learning are proposed.

提出了一种基于分布式强化学习的多Agent协调模型并给出了相应的算法。

Survey of Multi-agent Reinforcement Learning in Markov Games

随机博弈框架下的多agent强化学习方法综述

Reinforcement Learning Technology in Multi-Agent System

多Agent系统中强化学习的研究现状和发展趋势

Hierarchical reinforcement learning ( HRL) was presented to combat the curse of dimensionality, and has made great progresses.

分层强化学习（HRL）是为解决强化学习的维数灾问题而提出的，并取得了显著进展。

Intention Tracking Based Reinforcement Learning Agent Model

一种基于意图跟踪和强化学习的agent模型

Considering discrete and successive state space separately, a entropy based reinforcement learning algorithm and an auto-generating neural network function approximator method for reinforcement learning are researched.

分别针对离散化的状态空间和连续状态空间的压缩问题，提出了基于信息熵的强化学习算法和基于自主生成神经网络函数逼近器的强化学习算法。