基于Deepmind关于Deep Q learning的文章，尝试训练AI玩Pong和Carpole
Attempt to train an AI to play Pong and Carpole based on Deepmind article on Deep Q learning (2024-03-25, Jupyter Notebook, 0KB, 下载0次)
使用异步优势演员-批评者算法训练RL模型玩功夫大师
Using Asynchronous Advantage Actor-Critic Algorithm to train a RL model to play Kung Fu Master (2024-03-18, Jupyter Notebook, 0KB, 下载0次)
人工智能通过遗传算法学习玩Flappy Bird游戏。
AI learns to play Flappy Bird game by Genetic Algorithm. (2024-03-05, Jupyter Notebook, 0KB, 下载0次)
基于递归神经网络的Steam游戏玩家连接数预测
Predicting Player Connection Counts in Steam Games Using Recurrent Neural Networks (2024-02-09, Jupyter Notebook, 0KB, 下载0次)
使用Python scikit构建线性回归模型，学习预测玩家在Valorant比赛中的死亡。
Building a linear regression model using Python scikit-learn to predict player kills in Valorant matches. (2024-02-06, Jupyter Notebook, 0KB, 下载0次)
由SARSA强化学习算法训练的代理来玩OpenAI健身房出租车游戏。
An agent trained by SARSA reinforcement learning algorithm to play the OpenAI Gym Taxi game. (2024-01-09, Jupyter Notebook, 0KB, 下载0次)
该项目分析玩家性能，探索关键指标，如胜利、损失、WL比率、平均死亡、平均协助、平均KDR和游戏设备的影响。除了典型的记分板，我们还揭示了战略模式和玩家效率。
This project analyzes player performance, exploring key metrics like Wins, Losses, WL Ratio, Avg Kills, Avg Deaths, Avg Assists, Avg KDR, and the impact of gaming devices. Beyond the typical scoreboard, we uncover strategic patterns and player efficiency. (2024-01-08, Jupyter Notebook, 0KB, 下载0次)
训练并让人工智能学会使用Python和强化学习来玩Flappy Bird
Train and make AI learn to play Flappy-Bird using python and reinfocement learning (2023-11-03, Jupyter Notebook, 0KB, 下载0次)
本回购包含最先进的人工智能算法和可玩的笔记本示例，
this repo contain cutting edge AI algorithms and example notebooks to play with, (2023-03-06, Jupyter Notebook, 0KB, 下载0次)
这是一个RLagent，使用与AlphaGo Zero相同的算法玩游戏tic-tac-toe
This is an RLagent that plays the game tic-tac-toe using the same algorithm as AlphaGo Zero (2018-08-21, Jupyter Notebook, 0KB, 下载0次)
使用TensorFlow2中实现的深度Q卷积神经网络学习玩Pong。
Learning to play Pong using a Deep Q Convolutional Neural Network, implemented in TensorFlow2. (2020-03-23, Jupyter Notebook, 259KB, 下载0次)
实现各种基本层的正向和反向传播。CS 231n斯坦福2018春季：卷积神经
Implementation of various basic layers forward and back propagation. CS 231n Stanford Spring 2018: Convolutional Neural (2022-12-07, Jupyter Notebook, 68110KB, 下载0次)
一款基于人工智能的软件，可以预测玩家赢得传奇联盟游戏的机会
An AI powered software that predicts a persons chance of winning a league of legends game (2023-06-14, Jupyter Notebook, 25730KB, 下载0次)
我的学士项目“玩赛车游戏的示例策略梯度”的代码。包括赛车环境和PPO...
Code for my bachelor project "Sampled Policy Gradient for playing Racing Games". Includes racing environment and PPO and SPG implementations. (2019-12-24, Jupyter Notebook, 313KB, 下载0次)
bRawL，培训最先进的强化学习代理，玩流行游戏《超级粉碎兄弟的咆哮》
bRawL,Training state of the art reinforcement learning agents to play the popular game, Super Smash Bros Brawl (2020-12-09, Jupyter Notebook, 100947KB, 下载0次)
Deep Zork，使用NLP和强化学习构建能够玩基于文本的游戏的人工智能
Deep-Zork,Using NLP and reinforcement learning to build an AI capable of playing text- based games (2019-04-01, Jupyter Notebook, 57781KB, 下载0次)
BOT-MORPG-AI，如何使用人工智能创建自己的机器人，玩你最喜欢的MMORPG
BOT-MMORPG-AI,How to create your own Bot with Artificial Intelligence that plays your favorite MMORPG (2022-06-12, Jupyter Notebook, 1554758KB, 下载0次)
DinoRunTutorial，Paperspace教程的附带代码“构建一个AI来玩Dino Run”
DinoRunTutorial,Accompanying code for Paperspace tutorial "Build an AI to play Dino Run" (2020-06-15, Jupyter Notebook, 411KB, 下载0次)
Deep_Learning_21_Examples_with_tf2,21个项目玩转深度学习,tf2版
Deep_ Learning_ 21_ Examples_ with_ Tf2, 21 projects play deep learning, tf2 version (2020-04-15, Jupyter Notebook, 156KB, 下载0次)
CartPole Game Playing AI，使用openai健身房api训练Deep Q学习代理玩CartPole游戏，
used openai gym api for training a Deep Q Learner Agent to play CartPole game.
, (2019-07-25, Jupyter Notebook, 2615KB, 下载0次)