Reinforcement Learning environments based on the 1993 game Doom
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Updated
Sep 8, 2024 - C++
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
Reinforcement learning models in ViZDoom environment
C51-DDQN in Keras
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
Direct Future Prediction (DFP ) in Keras
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
Reinforcement learning in 3D.
😈 Train ViZDoom agents by Reinforcement Learning 👻
Reinforcement Learning Tutorials & other bedtime stories in PyTorch
A2C, ACKTR and A2T implementations for ViZDoom
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
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