VizDoom-ReinforcementLearning

agent

This project implements an agent for playing the VizDoom game on various levels using the Proximal Policy Optimization (PPO) algorithm from the stablebaselines3 library. The agent is trained to learn the optimal actions to take at each step in the game in order to complete the level and maximize the score.

How to download and setup VizDoom-ReinforcementLearning

Open terminal and run command

git clone https://github.com/MichaelFish199/VizDoom-ReinforcementLearning.git

git clone is used to create a copy or clone of VizDoom-ReinforcementLearning 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 VizDoom-ReinforcementLearning https://github.com/MichaelFish199/VizDoom-ReinforcementLearning/archive/master.zip

Or simply clone VizDoom-ReinforcementLearning with SSH

[email protected]:MichaelFish199/VizDoom-ReinforcementLearning.git

If you have some problems with VizDoom-ReinforcementLearning

You may open issue on VizDoom-ReinforcementLearning support forum (system) here: https://github.com/MichaelFish199/VizDoom-ReinforcementLearning/issues

Similar to VizDoom-ReinforcementLearning repositories

Here you may see VizDoom-ReinforcementLearning 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