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RL-Bootcamp Salzburg 24https://sarl-plus.github.io/RL-Bootcamp/
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#tutorial-in-reinforcement-learning-of-the-rl-bootcamp-salzburg-24
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Simon Hirlaenderhttps://mathphyssim.github.io
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#learning-goals
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Introductionhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#introduction
Problem Definitionhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#problem-definition
CERN Advanced WAKe (AWAKE) field Experimenthttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#cern-advanced-wake-awake-field-experiment
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Why This Environment?https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#why-this-environment
Approaches to solve the control problemhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#approaches-to-solve-the-control-problem
1. Model Predictive Control (MPC)https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#1-model-predictive-control-mpc
2. Reinforcement Learning (RL)https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#2-reinforcement-learning-rl
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Comparison with MPC and RLhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#comparison-with-mpc-and-rl
Preliminary conclusion RL with guarantees - a dream?https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#preliminary-conclusion-rl-with-guarantees---a-dream
4. More advanded part model-based RL: Gaussian Process-based MPC (GP-MPC)https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#4-more-advanded-part-model-based-rl-gaussian-process-based-mpc-gp-mpc
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1. Configurationhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#1-configuration
2. Running a random walkhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#2-running-a-random-walk
3. Running Model Predictive Controlhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#3-running-model-predictive-control
4. Training RL Agentshttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#4-training-rl-agents
5. Comparing Approacheshttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#5-comparing-approaches
Environment Componentshttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#environment-components
Additional Resourceshttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#additional-resources
Contributinghttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#contributing
Licensehttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#license
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A good resource for linear dynamics and controlhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#a-good-resource-for-linear-dynamics-and-control
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#4-more-advanded-part-model-based-rl-gaussian-process-based-mpc-gp-mpc
GP-MPC referencehttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#reference-gp-mpc-approach
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#advantages-3
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Standard text books on GPshttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#standard-text-books-on-gps
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#comparison-with-other-methods-3
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/miscellaneous/Random_walk.png
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#3-running-model-predictive-control
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helper_scripts/MPC.pyhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/helper_scripts/MPC.py
MPC_approach.pyhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/MPC_approach.py
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/miscellaneous/MPC.png
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#4-training-rl-agents
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/miscellaneous/PPO_learning.png
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/miscellaneous/PPO_verification.png
config/environment_setting.yamlhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/config/environment_setting.yaml
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#5-comparing-approaches
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/miscellaneous/Regret_PPO_MPC.png
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/miscellaneous/Regret_PPO_response_matrix.png
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#6-running-the-gp-mpc-controller
GP_MPC_approach.pyhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/GP_MPC_approach.py
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/miscellaneous/GP_MPC_wrapper.png
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial/blob/master/miscellaneous/GP_MPC_interaction_including_horizon.png
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#environment-components
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#overview
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#features
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#environment-specifications
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#usage-example
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OpenAI Gym Documentationhttps://www.gymlibrary.ml/
Reinforcement Learning Overviewhttps://en.wikipedia.org/wiki/Reinforcement_learning
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#key-imports
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#core-classes
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#additional-resources
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Stable Baselines3 Documentationhttps://stable-baselines3.readthedocs.io/
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#rl-bootcamp-tutorial-installation-guide
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#table-of-contents-1
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Step 1: Install Python 3.11.9 or Higherhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#step-1-install-python-3119-or-higher
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Step 6: Verify the Installationhttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#step-6-verify-the-installation
Step 7: Deactivate the Virtual Environmenthttps://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#step-7-deactivate-the-virtual-environment
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#prerequisites
Install Githttps://git-scm.com/downloads
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https://docs.python.org/3/https://docs.python.org/3/
https://git-scm.com/dochttps://git-scm.com/doc
https://docs.python.org/3/library/venv.htmlhttps://docs.python.org/3/library/venv.html
https://pip.pypa.io/en/stable/https://pip.pypa.io/en/stable/
Stack Overflowhttps://stackoverflow.com/
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#references-on-model-predictive-control-mpc
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https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#standard-text-books-on-gps
Gaussian Processes for Machine Learninghttp://www.gaussianprocess.org/gpml/
Machine Learning: A Probabilistic Perspectivehttps://probml.github.io/pml-book/book1.html
Learning with Kernelshttps://www.bkz.ch/shop/learning-with-kernels_258071
Gaussian Processes for Machine Learninghttp://www.gaussianprocess.org/gpml/drupal/
https://patch-diff.githubusercontent.com/SARL-PLUS/RL_bootcamp_tutorial#reference-gp-mpc-approach
https://proceedings.mlr.press/v84/kamthe18a.htmlhttps://proceedings.mlr.press/v84/kamthe18a.html
https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Controlhttps://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
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