ReinforcementLearning.jl icon indicating copy to clipboard operation
ReinforcementLearning.jl copied to clipboard

Custom environment action and state space explanation

Open ll7 opened this issue 2 years ago • 0 comments

From my point of view, there should be a tutorial which implements an environment with a continuous action and state space.

It took me some time to find out, that I had to use IntervalSets.jl instead of ClosedIntervals.jl to define the continuous state spaces for the rand() sampler.

ll7 avatar Jul 20 '22 16:07 ll7