roeeSch / DRLL Public

This repo is my summary of the udacity Deep Reinforcement Learning course (WIP)

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 55 Commits
3 Policy-Based Methods		3 Policy-Based Methods
4 Multi-Agent RL		4 Multi-Agent RL
MC_method_typImg		MC_method_typImg
MC_methods_blackjack		MC_methods_blackjack
Perliminary		Perliminary
drlnd/p1_navigation		drlnd/p1_navigation
pyTorchLesson		pyTorchLesson
testDRLs		testDRLs
testDRLs2		testDRLs2
typoraImages		typoraImages
udacityDRL		udacityDRL
udacity_drlnd_p1_navigation		udacity_drlnd_p1_navigation
.gitignore		.gitignore
1_7 - Bellman Equations.md		1_7 - Bellman Equations.md
2_2_DeepQNetworks.md		2_2_DeepQNetworks.md
2_3_Deep_RL_for_Robotics.md		2_3_Deep_RL_for_Robotics.md
Learning Plan.md		Learning Plan.md
MC_methods.md		MC_methods.md
NN_Recap.md		NN_Recap.md
Optional DRL setups for pendulum project.md		Optional DRL setups for pendulum project.md
Part1_Lesson11_ContinuousSpaceRL.md		Part1_Lesson11_ContinuousSpaceRL.md
Part1_RL_in_contSpace.md		Part1_RL_in_contSpace.md
README.md		README.md
Summary_The_RL_Framework___The_problem.md		Summary_The_RL_Framework___The_problem.md
Summary_The_RL_Framework___The_solution.md		Summary_The_RL_Framework___The_solution.md
Temporal-Difference Methods.md		Temporal-Difference Methods.md
bookdraft2018.pdf		bookdraft2018.pdf
cheatsheet.pdf		cheatsheet.pdf
constAlphaMC_control.png		constAlphaMC_control.png