联合开发网   搜索   要求与建议
                登陆    注册
排序按匹配   按投票   按下载次数   按上传日期
按平台查找All Python(916) 

[人工智能/神经网络/深度学习] Tic-Tac-Toe-Game

使用具有MinMax算法的AI玩Tic Tac Toe将使您成为失败者
Playing Tic Tac Toe with an AI with MinMax Algorithm will make you a loser (2024-01-29, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1706553223971623.html

[人工智能/神经网络/深度学习] Game_Gobang

Gobang国际象棋游戏,玩家vs.具有Minimax和Alpha-Beta修剪算法的人工智能代理。
Gobang Chess Game, Player vs. AI Agent with Minimax and Alpha Beta Pruning Algorithm. (2024-01-01, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1704097119531519.html

[人工智能/神经网络/深度学习] SnakeAI

开发了一个A*问题解决解决代理,用于玩经典蛇游戏的增强版本。
An A* problem-solving solving agent developed to play an enhanced version of the classic Snake Game. (2023-12-02, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1701504303469612.html

[人工智能/神经网络/深度学习] Minesweeper_DoubleDQN

使用双深度Q网络学习玩扫雷游戏
Using Double Deep Q-Network to learn to play Minesweeper game (2023-11-06, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1699292648698035.html

[人工智能/神经网络/深度学习] AI_Tic_Tac_Toe

人工智能玩家的Tic Tac Toe(使用minimax算法计算最佳移动)
Tic-Tac-Toe with an AI-player (uses the minimax algorithm to calculate best moves) (2023-01-02, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1698655011887971.html

[人工智能/神经网络/深度学习] Tic-Tac-Toe-Game

我使用Minimax算法实现了一个人工智能,以优化地玩Tic-Tac-Toe。
I used Minimax algorithm to implement an AI to play Tic-Tac-Toe optimally. (2021-05-30, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1698654983546461.html

[人工智能/神经网络/深度学习] tic-tac-toe-python

tic-tac-toe游戏,您将与使用极大极小算法思考的人工智能一起玩。
tic-tac-toe game which you will play with AI that think using minimax algorithm . (2022-05-31, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1698654038307693.html

[人工智能/神经网络/深度学习] Agent-76

Agent-76是一个基于强化学习的a.I.,它学习自己玩Overwatch 2。,
Agent-76 is a Reinforcement Learning based A.I. that learns to play Overwatch 2 by itself., (2023-10-23, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1698046976412832.html

[人工智能/神经网络/深度学习] Breakout-Deep-Q-Learning

训练一名人工智能演员使用Deep Q Learning玩经典的Atari游戏Breakout。,
Train an AI actor to play the classic Atari game Breakout using Deep Q Learning., (2019-01-20, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1693870006119645.html

[人工智能/神经网络/深度学习] AI-Space-Invaders

一个学会玩太空入侵者的人工智能。由Pygame+NEAT.制成。,
An AI that learns to play Space Invaders. Made with Pygame + NEAT., (2020-11-30, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1693869929935465.html

[人工智能/神经网络/深度学习] Pong

一款使用海龟图形库的Pong游戏,让玩家可以控制桨并相互竞争。,
A Pong game which uses the Turtle graphics library, letting players control paddles and compete against one another., (2023-08-28, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1693278615263680.html

[人工智能/神经网络/深度学习] Reinforcement-Learning_belote

我们的目标是创建一个应用程序,使我们能够与智能代理玩Belote游戏,
We aim to create an application that lets us play Belote againt intelligent agents, (2023-08-17, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1692429958639170.html

[人工智能/神经网络/深度学习] rock-paper-scissors

一个开源程序,使用人工智能在现实生活中玩石头剪刀游戏,
An open-source program that uses AI to play the game Rock Paper Scissor in real-life, (2023-05-23, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689712506658583.html

[人工智能/神经网络/深度学习] GomokuAI

神经网络引导的蒙特卡洛树搜索,玩棋类游戏Gomoku(五人一行),
Monte Carlo Tree Search guided by neural network to play board game Gomoku (Five in a Line), (2018-01-21, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689705682358584.html

[人工智能/神经网络/深度学习] multimodal-multiview-distillation

包含论文代码的存储库:用于实时玩家检测的多模态和多视图提取...
Repository containing the code for the paper: Multimodal and multiview distillationfor real-time player detection on a football field (2020-06-13, Python, 10286KB, 下载0次)

http://www.pudn.com/Download/item/id/1687205692991251.html

[人工智能/神经网络/深度学习] rld-project

玩石头,纸,剪刀(Kaggle竞争)与强化学习:土匪,表格Q学习和PPO与...
Play Rock, Paper, Scissors (Kaggle competition) with Reinforcement Learning: bandits, tabular Q-learning and PPO with LSTM. (2021-03-02, Python, 393KB, 下载0次)

http://www.pudn.com/Download/item/id/1687118943963172.html

[人工智能/神经网络/深度学习] evolutionary-snail-jumper

一个简单的游戏代理,使用进化算法来更好地玩蜗牛跳跃游戏。
A simple game agent that uses evolutionary algorithms to get better at the Snail Jumper game. (2023-02-18, Python, 1155KB, 下载0次)

http://www.pudn.com/Download/item/id/1686688736982419.html

[人工智能/神经网络/深度学习] python-tictactoe-ai-yt

python tictactoe ai yt,一个无与伦比的人工智能使用python和Pygame玩的tictactoe-YouTube教程
python-tictactoe-ai-yt,Tictactoe played by an unbeatable Artificial Intelligence using Python and Pygame - YouTube Tutorial (2022-04-04, Python, 55KB, 下载0次)

http://www.pudn.com/Download/item/id/1649019349377945.html

[人工智能/神经网络/深度学习] Tetris-deep-Q-learning-pytorch

俄罗斯方块深度Q学习,用于玩俄罗斯方块游戏的深度Q学习
Tetris-deep-Q-learning-pytorch,Deep Q-learning for playing tetris game (2023-04-03, Python, 14688KB, 下载0次)

http://www.pudn.com/Download/item/id/1680524230230911.html

[人工智能/神经网络/深度学习] gym-xiangqi

gym-xiangqi,这个回购按照OpenAI gym框架设置了玩xiangqi(中国象棋)的环境,
This repo sets up the environment to play Xiang Qi (chinese chess) following the OpenAI Gym framework. , (2023-02-19, Python, 38449KB, 下载0次)

http://www.pudn.com/Download/item/id/1676818228698015.html