Reinforcement-Learning-Notes

Notes on an introduction to Reinforcement Learning

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.devcontainer		.devcontainer
.ipynb_checkpoints		.ipynb_checkpoints
DQNs		DQNs
Sutton&Barto - problems/Multi-armed Bandits		Sutton&Barto - problems/Multi-armed Bandits
images		images
notesMiniProjects		notesMiniProjects
1 - Reinforcement Learning Framework.ipynb		1 - Reinforcement Learning Framework.ipynb
2 - Markov Decision Process.ipynb		2 - Markov Decision Process.ipynb
3 - Solution to the RL Framework.ipynb		3 - Solution to the RL Framework.ipynb
4 -Dynamic Programming.ipynb		4 -Dynamic Programming.ipynb
5 - Monte Carlo Method.ipynb		5 - Monte Carlo Method.ipynb
6 - Temporal-Difference Methods.ipynb		6 - Temporal-Difference Methods.ipynb
7. RL in Continuos Spaces.ipynb		7. RL in Continuos Spaces.ipynb
8. Deep Q-Learning.ipynb		8. Deep Q-Learning.ipynb
9. Policy-Based Methods.ipynb		9. Policy-Based Methods.ipynb
README.md		README.md
cheatsheet.pdf		cheatsheet.pdf

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