search

accel-brain / accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
https://accel-brain.co.jp
GNU General Public License v2.0
310 stars 92 forks source link

About how to use Q-learning #9

Closed 123toorc closed 4 years ago

123toorc commented 4 years ago

Hi, I'm a student working on a project that requires using Q-learning. I want to know is there any material about the packet function interfaces? I didn't find some useful info in README file.

chimera0 commented 4 years ago

I don't know what your project is, but QLearning is just an abstract class, so I think you should implement your own subclass according to the functional requirements and use cases determined in your project.

Quite simply, what can be useful in a design can only be determined by those who can clarify the level of abstraction and functionality.