Reinforcement Learning environments based on the 1993 game Doom
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Updated
Feb 13, 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
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
Reinforcement learning in 3D.
😈 Train ViZDoom agents by Reinforcement Learning 👻
Reinforcement Learning Tutorials & other bedtime stories in PyTorch
PyOblige is Python wrapper for OBLIGE - random level generator for Doom
A2C, ACKTR and A2T implementations for ViZDoom
Online exploration of memory reduction strategies of a DRL agent trained to solve a navigation task on ViZDoom
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