Reinforcement Learning environments based on the 1993 game Doom

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

Reinforcement Learning in Keras on VizDoom

Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch

C51-DDQN in Keras

OpenAI Gym wrapper for ViZDoom enviroments

Direct Future Prediction (DFP ) in Keras

Reinforcement learning models in ViZDoom environment

Keras implementation of DQN on ViZDoom environment

DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM

Gym wrapper for Vizdoom environments

A modular Deep Reinforcement Learning library that supports multiple environments, made with Python 3.6.

Continual Reinforcement Learning in 3D Non-stationary Environments

A2C, ACKTR and A2T implementations for ViZDoom

😈 Train ViZDoom agents by Reinforcement Learning 👻

Reinforcement learning in 3D.

PyOblige is Python wrapper for OBLIGE - random level generator for Doom

Solving games with reinforcement learning

Implementation of the DQN and DRQN algorithms in Keras and tensorflow

Experiment code for testing effect of various action space transformations in reinforcement learning