For example, you may try Roth-Erev reinforcement algorithm

with the corresponding application:

Article Dynamic spectrum leasing and retail pricing using an experim...

Dear Nimish Mishra ,

I think pruning filters from convolutional neural networks is an interesting topic where RL can be used. The works below are examples of papers which employ RL for pruning filters :

RL in Computer Games for training agents or bots

Dear Nimish Mishra,

If you are interested in automation and control engineering, RL based- event-triggered distributed robust optimal control for nonlinear systems is a hot topic.

You can email me at [email protected]

I also highly recommend an optimization based on biology, using some kind of "prediction" of fitness landscape behavior.

Reinforcement learning for solution updating in Artificial Bee Colony; written by: Suthida Fairee, Santitham Prom-On, Booncharoen Sirinaovakul Published: July 17, 2018, https://doi.org/10.1371/journal.pone.0200738

Article Reinforcement learning for solution updating in Artificial Bee Colony

According to just cited Article: "The reinforcement vector is updated every time an employed bee finds a candidate food source. "

... suggestion - possible topic for the thesis: Generalization of the above mentioned optimization heuristics for the time-varying or stochastic environments (i.e. periodic - seasonal, stochastic, uncertain in a certain way fitness landscapes - objective functions).

In this regard see e.g.

https://cs.stackexchange.com/questions/57549/evolutionary-algorithm-in-stochastic-environment

I want to work on a masters' thesis pertaining to Reinforcement Learning via Markov Decision Process. I am requesting for help or ideas about how to get started?

This is a new field for me because I did my bachelor's in economics. i asking about how to use RL via Markov Decision Process to solve Economics Problems considering the place I am The Gambia.

Best Regards.