This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/
-
Updated
Jun 13, 2020 - Jupyter Notebook
#
rl-algorithm
Here are 8 public repositories matching this topic...
GYM Environment for XPlane. Reinforcement Learning and Autonomous Piloting.
-
Updated
Oct 17, 2021 - Python
Reproduced the popular Facebook game -- Tetris Battle! Also provided openAI environments.
-
Updated
Dec 7, 2020 - Python
Reinforcement Learning algorithms for learning IoT interactions.
-
Updated
Oct 1, 2021 - Python
Raw python implementations and short tutorials of Reinforcement Learning algorithms
-
Updated
Mar 11, 2020 - Python
Implementation and experiments of reinforcement learning algorithms in CS885 @ UW
machine-learning reinforcement-learning q-learning pytorch policy-gradient markov-decision-processes policy-iteration value-iteration rl-playground rl-algorithm
-
Updated
Oct 9, 2019 - Python
This github contains a simple OpenAi Gym Maze Enviroment and (at now) a RL Algorithm to solve it.
machine-learning reinforcement-learning maze openai-gym q-learning policy epsilon-greedy boltzmann-exploration sarsa maze-generator maze-solver openai-gym-environment tabular-q-learning sarsa-learning rl-algorithm sarsa-algorithm epsilon-decay maze-enviroment
-
Updated
Apr 24, 2020 - Python
-
Updated
Sep 9, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the rl-algorithm topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the rl-algorithm topic, visit your repo's landing page and select "manage topics."