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description = "Interactive workshop on reinforcement learning. Starting out with the basic algorithms of policy iteration, value iteration and progressing to more complex ones, such as q-learning."
authors = ["Karl Kurzer <karl.kurzer@visium.ch>"]
readme = "README.md"
[tool.poetry.dependencies]
gymnasium = {extras = ["toy-text"], version = "^0.29.1"}
matplotlib = "^3.8.0"
numpy = "^1.26.0"
python = ">=3.11,<3.13"
stable-baselines3 = "^2.1.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "^23.9.1"}