Deep Reinforcement Learning Textbook

A collection of comprehensive notes on Deep Reinforcement Learning, based on UC Berkeley's CS 285 (prev. CS 294-112) taught by Professor Sergey Levine.

Compile the latex source code into PDF locally.
Please let me know if you have any questions or suggestions. Reach me via [email protected]

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
figures		figures
Deep_RL.pdf		Deep_RL.pdf
QwRB.tex		QwRB.tex
README.md		README.md
REINFORCE.tex		REINFORCE.tex
actorcritic.tex		actorcritic.tex
batchac.tex		batchac.tex
batchacwdf.tex		batchacwdf.tex
cem.tex		cem.tex
ctrasinf.tex		ctrasinf.tex
dagger.tex		dagger.tex
ddpg.tex		ddpg.tex
dqn.tex		dqn.tex
dyna.tex		dyna.tex
dynagen.tex		dynagen.tex
fittedQ.tex		fittedQ.tex
fittedvaliter.tex		fittedvaliter.tex
guided.tex		guided.tex
ilqr.tex		ilqr.tex
imitation.tex		imitation.tex
intro.tex		intro.tex
inverse.tex		inverse.tex
lqr.tex		lqr.tex
main.tex		main.tex
maxent.tex		maxent.tex
mb05.tex		mb05.tex
mb10.tex		mb10.tex
mb15.tex		mb15.tex
mb20.tex		mb20.tex
mblatent.tex		mblatent.tex
mbpolicy.tex		mbpolicy.tex
mcts.tex		mcts.tex
modelbased.tex		modelbased.tex
onlineQiter.tex		onlineQiter.tex
onlineac.tex		onlineac.tex
pgtheory.tex		pgtheory.tex
policyiter1.tex		policyiter1.tex
policyiter2.tex		policyiter2.tex
poligrad.tex		poligrad.tex
preface.tex		preface.tex
qfunc.tex		qfunc.tex
qwrb_tn.tex		qwrb_tn.tex
ref.bib		ref.bib
value.tex		value.tex
varinfer.tex		varinfer.tex