Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
reinforcement-learning
genetic-algorithm
markov-chain
deep-reinforcement-learning
q-learning
neural-networks
mountain-car
sarsa
multi-armed-bandit
inverted-pendulum
actor-critic
temporal-differencing-learning
drone-landing
dissecting-reinforcement-learning
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Updated
Sep 22, 2020 - Python
There are several unused parameter warnings all over the place.
As these parameters mostly exist on purpose (e.g. for function overloading), those warnings can probably be ignored.
Once we are at c++17, we should insert the new attribute
[[maybe_unused]]
wherever this is the case.