Name		Name	Last commit message	Last commit date
Images		Images
solutions		solutions
.gitattributes		.gitattributes
.gitignore		.gitignore
CartPole_Render.jpg		CartPole_Render.jpg
Confidence.png		Confidence.png
DDPG_Alg.png		DDPG_Alg.png
DDPG_CartPole_02.ipynb		DDPG_CartPole_02.ipynb
DQN_01.ipynb		DQN_01.ipynb
DQN_Alg.png		DQN_Alg.png
DQN_Solution.png		DQN_Solution.png
DQN_sgd.png		DQN_sgd.png
Frozen_Lake_01.ipynb		Frozen_Lake_01.ipynb
Frozen_Lake_Policy.png		Frozen_Lake_Policy.png
Frozen_Policy.png		Frozen_Policy.png
GA3C.png		GA3C.png
LICENSE		LICENSE
Monte_Carlo_01.ipynb		Monte_Carlo_01.ipynb
Montecarlo_Alg.png		Montecarlo_Alg.png
QLearning_Alg.png		QLearning_Alg.png
Q_Learning_01.ipynb		Q_Learning_01.ipynb
README.md		README.md
REINFORCE_01.ipynb		REINFORCE_01.ipynb
REINFORCE_Alg.png		REINFORCE_Alg.png
REINFORCE_Alg_simple.png		REINFORCE_Alg_simple.png
RL_Systems_Flow.png		RL_Systems_Flow.png
ddpg_run.png		ddpg_run.png
ddpg_run_01.png		ddpg_run_01.png
ddpg_run_02.png		ddpg_run_02.png
e_greedy.png		e_greedy.png
gtc-2019-43-Trimmed.pdf		gtc-2019-43-Trimmed.pdf
helper.py		helper.py
pytorch-example.ipynb		pytorch-example.ipynb
reinforce_run.png		reinforce_run.png
reinforce_run_01.png		reinforce_run_01.png
requirements.txt		requirements.txt

Repository files navigation

GTC_2019_DRL_LAB

Deep Reinforcement Learning Lab for GTC 2019 https://goo.gl/bxw6Qd

Slides are in the gtc-2019-43-Trimmed.pdf

Am constantly updating the materials

2/28/2019 : Finalized all materials after dry run with Dana/Devesh @ Nvidia
3/21/2019 : Updated after GTC Sessions. Final Materials.

About

GTC 2019 Lab : Demystifying Reinforcement learning

0 stars

1 watching

Report repository

Releases

Packages

Contributors

Languages