Deep-Q-Learning-for-solving-OpenAi-Gym-LunarLander-v2-in-python/pyproject.toml at main · MohammadAsadolahi/Deep-Q-Learning-for-solving-OpenAi-Gym-LunarLander-v2-in-python · GitHub

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[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "dqn-lunar-lander"
version = "1.0.0"
description = "Deep Q-Network for solving OpenAI Gym LunarLander-v2"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [
    {name = "AG", email = "ag@google.com"},
]
keywords = ["reinforcement-learning", "deep-q-network", "dqn", "lunar-lander", "openai-gym"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    "numpy>=1.24.0",
    "matplotlib>=3.7.0",
    "keras>=3.0.0",
    "tensorflow>=2.15.0",
    "gymnasium[box2d]>=0.29.0",
]

[project.urls]
Repository = "https://github.com/AbirGadworker/Deep-Q-Learning-for-solving-OpenAi-Gym-LunarLander-v2-in-python"

[project.scripts]
dqn-train = "train:train"
dqn-eval = "evaluate:evaluate"

[tool.setuptools.packages.find]
include = ["dqn*"]