PyTorch implementation of various reinforcement learning algorithms
-
Updated
Feb 22, 2018 - Python
PyTorch implementation of various reinforcement learning algorithms
ReLAx - Reinforcement Learning Applications Library
path planning using Q learning algorithm
Various fundamental reinforcement learning algorithms implemented from scratch
Reinforcement learning algorithms to solve OpenAI gym environments
Reinforcement Learning Using Q-learning, Double Q-learning, and Dyna-Q.
Homework for SJTU-AI3603.
Interpretable tabular reinforcement learning for aircraft-engine maintenance timing using NASA CMAPSS FD001, comparing Dyna-Q, Q-learning, SARSA, and rule-based policies.
Add a description, image, and links to the dyna-q topic page so that developers can more easily learn about it.
To associate your repository with the dyna-q topic, visit your repo's landing page and select "manage topics."