omerbsezer/Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Jupyter Notebook
Stargazers
- AGKhalilUniversity of Bristol
- anazalea
- arascanonal
- busraunlu
- chunsj
- eueungInstitut Teknologi Bandung (ITB)
- eyadsibai
- FabianInostroza
- gengddSEUer
- greed2411@skit-ai
- hunglethanh9FPT University
- isacikgoz@mattermost
- JaviFuentes94uizard.io
- JonNicolosi
- matthewdhanleyColorado
- Miskalicious
- mrabdullahsahinTurkey
- mratsim@status-im @numforge
- nickfraser
- nukem
- Pushpesh-31
- ramygrSan Francisco & Paris
- rongzhou
- scottsideleauRhode Island, US
- SerialDevHelsinki, Finland
- shang-vikasTabsquare.ai(Singapore)
- taesiriPlanet Mars
- thiagoramos23Maceió - AL - Brazil
- ugurgudelek
- veb-101bigvision.ai
- weechien
- WencesVillegasMarsetNetlight
- yngtoddKnoxville, TN
- zahnz
- Zeitzew32
- ZER-0-NEBengaluru