There are 1 repository under vizdoom topic.
Reinforcement Learning environments based on the 1993 game Doom :godmode:
Reinforcement Learning in Keras on VizDoom
Reinforcement learning models in ViZDoom environment
C51-DDQN in Keras
Direct Future Prediction (DFP ) in Keras
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
OpenAI Gym wrapper for ViZDoom enviroments
Keras implementation of DQN on ViZDoom environment
Continual Reinforcement Learning in 3D Non-stationary Environments
Experiment code for testing effect of various action space transformations in reinforcement learning
😈 Train ViZDoom agents by Reinforcement Learning 👻
Reinforcement Learning Tutorials & other bedtime stories in PyTorch
A2C, ACKTR and A2T implementations for ViZDoom
Solving games with reinforcement learning
Online exploration of memory reduction strategies of a DRL agent trained to solve a navigation task on ViZDoom
Implementation of the DQN and DRQN algorithms in Keras and tensorflow
Some Python scripts to test out the Mxnet gluon package for deep learning with Doom
This research project investigated Bio-Inspired Neural Network capabilities and State-of-the-Art implementations. As an experiment, it uses ViZDoom; a Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information. :godmode:
A modular Deep Reinforcement Learning library that supports multiple environments, made with Python 3.6.
😺 Imitation Learning based on A3C algorithm 🛠
😅 Progressive Neural Network, based on A3C to train agents on ViZDoom scenarios
submission to TTI-Chicago programming requirement
05-06 Ekim tarihlerinde gerçekleşen DeepCon konferansındaki Derin Pekiştirmeli Öğrenme Atölyesi
This repo is for playing with reinforcement learning algorithms. I am either using openai gym or ViZDoom as an environment.
Applying representation learning to reinforcement learning
Reinforcement Learning on ViZDoom Enviroment using Advantage Actor Critic and Dueling Deep Q Networks.
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.