A modular Deep Reinforcement Learning library that supports multiple environments, made with Python 3.6.
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Updated
Jun 11, 2024 - Python
A modular Deep Reinforcement Learning library that supports multiple environments, made with Python 3.6.
An AI which trains to win more and more indecently the Doom Deadly Corridor (ViZDoom)
Deep reinforcement learning agents that play Doom using Python.
Implemented DQN with Intrinsic Curiosity Module for a VizDoom competition at nate.
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.
Applying representation learning to reinforcement learning
Solving games with reinforcement learning
Reinforcement learning models in ViZDoom environment
Bot that learns through reinforcement learning (RL) how to play DOOM🤖
OpenAI Gym wrapper for ViZDoom enviroments
Implementation of the DQN and DRQN algorithms in Keras and tensorflow
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
Training Deep RL agents in VizDoom.
Experiment code for testing effect of various action space transformations in reinforcement learning
This repo is for playing with reinforcement learning algorithms. I am either using openai gym or ViZDoom as an environment.
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