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Practicals for Reinforcement Learning by David Silver DeepMind

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Name		Name	Last commit message	Last commit date
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notebook		notebook
speed		speed
src		src
study		study
.coveragerc		.coveragerc
.editorconfig		.editorconfig
.gitignore		.gitignore
.python-version		.python-version
Makefile		Makefile
README.md		README.md
poetry.lock		poetry.lock
pyproject.toml		pyproject.toml

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easy-21

coursework for Reinforcement Learning by David Silver

Topics

Monte-Carlo Contarol
Temporal-Difference Learning
Linear Function Approximations
On-Policy Learning vs Off-Policy Learning

check the notebooks for studies

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Practicals for Reinforcement Learning by David Silver DeepMind

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