强化学习是机器学习大家族中的一大类, 使用强化学习能够让机器学着如何在环境中拿到高分, 表现出优秀的成绩. Code: https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow 莫烦Python: https://mofanpy.com 通过 "莫烦 Python" 支持我做出更好的视频: https://mofanpy.com/support/ 科技 计算机技术 强化学习 机器学习 python 神经网络 tensorflow...
05 - Learning Over Time With Markov Decision Processes 06 - What Is The Present Value Of Winning 07 - How To Write Code To Make Decisions In The Short Term 08 - How To Make Decisions That Yield Better Long Term Results 09 - How To Make Good Decisions In The Short And Long Term 10 ...
Python code for Sutton & Barto's book Reinforcement Learning: An Introduction (2nd Edition) Contents Click to view the sample output Chapter 1 Tic-Tac-Toe Chapter 2 Figure 2.1: An exemplary bandit problem from the 10-armed testbed Figure 2.2: Average performance of epsilon-greedy action-valu...
Off-policy learning (Q-learningand SARSA) Off-policy方法通过迭代更新动作-策略函数来寻找最优策略,在迭代过程中不涉及特定的policy。迭代更新的公式如下: Q-learning: S' 为在当前位置S采取动作A之后的移动到的下一位置。 Q(s, a)\leftarrow Q(S, A) + \alpha \left(r(S, A) + \gamma\cdot \max...
Source Code for the book "Deep Reinforcement Learning with Python", second edition by Nimish Sanghi Local Install - Ubuntu and Windows WSL2 Please install following ubuntu packages using: apt-get install swig cmake ffmpeg freeglut3-dev xvfb git-lfs git lfs install Create a new venv or con...
1.准备 开始之前，你要确保Python和pip已经成功安装在电脑上，如果没有，可以访问这篇文章：超详细Python...
代码(Code) Andrej Karpathy的Pong from Pixels将带你快速入门并运行你的第一个强化学习agent。如文章所描述的,“我们将学习如何用PG玩一个Atari游戏(Pong!),利用scratch(不确定如何翻译),利用像素,还有一个深度神经网络,所有这一切只需要130行的Python代码,用到的库只有numpy。(Gist link)” ...
0x1:Q-Learning案例 1、treasure_on_right -- 一个简单的命令行寻宝游戏 View Code 每一步的qtable概率表如下: View Code 经过了几十轮次的迭代后,Q-table基本收敛完成了,此时right概率的平均概率就超过了EPSILON*left,此时可以认为算法已经学会了一种大概率获胜的行动策略。
youwillhavealltheknowledgeandexperienceneededtoimplementRLanddeepRLinyourprojects,andyouentertheworldofartificialintelligencetosolvevariousreal-lifeproblems.ThisLearningPathincludescontentfromthefollowingPacktproducts:Hands-OnReinforcementLearningwithPythonbySudharsanRavichandiran.PythonReinforcementLearningProjectsbySeanSaito,...
Explore the combination of neural network and reinforcement learning. Algorithms and examples in Python & PyTorch Have you heard about the amazing results achieved byDeepmind with AlphaGo Zeroand byOpenAI in Dota 2? It's all about deep neural networks and reinforcement learning. Do you want to kn...