多目标的强化学习教程

1  https://flyyufelix.github.io/2017/11/17/direct-future-prediction.html

Direct Future Prediction - Supervised Learning for Reinforcement Learning

2  原文https://www.oreilly.com/ideas/reinforcement-learning-for-complex-goals-using-tensorflow，

建议  这一段参考原文

This new formulation changes our neural network in several ways. Instead of just a state, we will also provide as input to the network the current measurements and goal. Instead of Q-values, our network will now output a prediction tensor of the form [Measurements X Actions X Offsets]. Taking the product of the summed predicted future changes and our goals, we can pick actions that best satisfy our goals over time:

量子位的中文翻译： 

https://mp.weixin.qq.com/s/XHdaoOWBgOWX7SrOemY4jw