DQN-Deep-Q-Network-Atari-Breakout-Tensorflow
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
How to download and setup DQN-Deep-Q-Network-Atari-Breakout-Tensorflow
Open terminal and run command
git clone https://github.com/andi611/DQN-Deep-Q-Network-Atari-Breakout-Tensorflow.git
git clone is used to create a copy or clone of DQN-Deep-Q-Network-Atari-Breakout-Tensorflow repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with DQN-Deep-Q-Network-Atari-Breakout-Tensorflow https://github.com/andi611/DQN-Deep-Q-Network-Atari-Breakout-Tensorflow/archive/master.zip
Or simply clone DQN-Deep-Q-Network-Atari-Breakout-Tensorflow with SSH
[email protected]:andi611/DQN-Deep-Q-Network-Atari-Breakout-Tensorflow.git
If you have some problems with DQN-Deep-Q-Network-Atari-Breakout-Tensorflow
You may open issue on DQN-Deep-Q-Network-Atari-Breakout-Tensorflow support forum (system) here: https://github.com/andi611/DQN-Deep-Q-Network-Atari-Breakout-Tensorflow/issuesSimilar to DQN-Deep-Q-Network-Atari-Breakout-Tensorflow repositories
Here you may see DQN-Deep-Q-Network-Atari-Breakout-Tensorflow alternatives and analogs
netdata express-performance-monitor huginn pinpoint amon scouter dd-agent egjs merlin PyGame-Learning-Environment inspectIT goappmonitor mario-ai zappr covertutils Recaf deep-trading-agent trezor-agent PKURemote jvm-profiler stackimpact-go sematext-agent-docker opennars docker-inbound-agent xnumon fusioninventory-agent outis pi-web-agent logdna-agent sarl