- Define the Environment interface
- Create the Custom Environment
- Create the Q-Table
- Implement the Learning Algorithm
- Create the MATLAB Environment Object
rlNumericSpec and rlFiniteSetSpec multi channell environment + Qtable
1 view (last 30 days)
Show older comments
I'm seeking to develop a custom environment for a (partially observable) Q learning problem. In particular I'm interested in been able to use in my environment a DT markov chain and some differential equations ( which estimante the state of the Markov chain). Something like have observations which are rlNumericSpec and rlFiniteSetSpec. In other words I would need my observations to have multiple channels and make use of a Qtable
Is there some best practice/ideas on how to accomplish this?
Cheers
0 Comments
Answers (1)
Aditya
on 16 Jan 2024
Developing a custom environment for a partially observable Q-learning problem with a discrete-time (DT) Markov chain and differential equations is a complex task. However, MATLAB provides the tools necessary to create such an environment. Here are some best practices and ideas to help you accomplish this:
0 Comments
See Also
Categories
Find more on Sequence and Numeric Feature Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!