Just a simple question I wanted to check. Can I use packages like DifferentialEquations.jl to model the environment in a Reinforcement learning simulation. Now is the ReinforcementLearning.jl package able to handle that?
What I mean is, I can write a simple differential equation model for the evolution of environment--say some physics based model. But then I push that model into the run() function, I probably just need to make sure that the env() function will take in the current state and action information and then solve() the differential equation system for the subsequent state. I don't think I would need anything special from the ReinforcementLearning.jl package from this.
So just wanted to check if my interpretation is correct in terms of how to implement this integration of DifferentialEquations.jl with the ReinforcementLearning.jl package.
Thanks.
Just a simple question I wanted to check. Can I use packages like
DifferentialEquations.jlto model the environment in a Reinforcement learning simulation. Now is theReinforcementLearning.jlpackage able to handle that?What I mean is, I can write a simple differential equation model for the evolution of environment--say some physics based model. But then I push that model into the
run()function, I probably just need to make sure that theenv()function will take in the current state and action information and thensolve()the differential equation system for the subsequent state. I don't think I would need anything special from theReinforcementLearning.jlpackage from this.So just wanted to check if my interpretation is correct in terms of how to implement this integration of
DifferentialEquations.jlwith theReinforcementLearning.jlpackage.Thanks.