nima265

A little programmer and Game developer

White DesignersMashhad , Iran

Pinned Repositories

CatchFirst
A search and found zero player game using ML-Agent.
20
Cowboy-Bepop
update version 1.3 of Cowboy Bepop game
Language:Python20
Cowboy_Bepop
a spaceship retro 8-bit game
10
Cowboy_Bepop_V1.1
version 1.1 of Cowboy Bepop game
Language:Python30
EditorList
Language:C#00
events
events csaiaum!
00
nima265
20
nima265.github.io
Language:HTML20
Object-Replacer
Language:C#4 1 00
Tic_Tac_Toe
a tic tac toe in C++ and with minimax algorithm
Language:C++20

nima265's Repositories

nima265/Object-Replacer
Language:C#4 1 00
nima265/Cowboy_Bepop_V1.1
version 1.1 of Cowboy Bepop game
Language:Python30
nima265/CatchFirst
A search and found zero player game using ML-Agent.
20
nima265/Cowboy-Bepop
update version 1.3 of Cowboy Bepop game
Language:Python20
nima265/nima265
20
nima265/nima265.github.io
Language:HTML20
nima265/Tic_Tac_Toe
a tic tac toe in C++ and with minimax algorithm
Language:C++20
nima265/Cowboy_Bepop
a spaceship retro 8-bit game
10
nima265/EditorList
Language:C#00
nima265/events
events csaiaum!
00
nima265/memories
memories board!
nima265/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.