Deep reinforcement learning agents that play Doom using Python.
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Updated
Dec 8, 2022 - Python
Deep reinforcement learning agents that play Doom using Python.
vizDoom AI is a study project realized by me at the 3WA, to realize this model of artificial intelligence, I was greatly inspired by the videos of Nicholas Renotte (Youtubeur that I appreciate particularly). The goal of this script is to learn how to play all levels of Doom by himself and be the best he can be.
Training Deep RL agents in VizDoom.
Playing FPS Game with Supervised Learning
realisation of reinforcement learning algorithms based with vizdoom
A Reinforcement Learning Playground
Implemented DQN with Intrinsic Curiosity Module for a VizDoom competition at nate.
An AI which trains to win more and more indecently the Doom Deadly Corridor (ViZDoom)
Bot that learns through reinforcement learning (RL) how to play DOOM🤖
Used Vizdoom API to train AI-Bot using DQN, DRQN and add a lot of improvements fixed-Q, Dueling, Prioritzing to maximize K/D of Bot.
Applying representation learning to reinforcement learning
deep reinforcement learning research
This repo is for playing with reinforcement learning algorithms. I am either using openai gym or ViZDoom as an environment.
submission to TTI-Chicago programming requirement
😺 Imitation Learning based on A3C algorithm 🛠
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