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As an enhancement to #26, it would be great for the network to take in any kind of state as specified by the rlenvsAPI, as long as the state is a single tensor. This is slightly restrictive, but with the -modelBody option a lot can still be done.
Major changes would be to a) make visual preprocessing more explicit as options and b) have environments output a 3D array as part of a getDisplay method so that visuals can still be provided. An option also needs to added to discretise/not discretise the experience replay memory.
A "roadmap" can be seen in the readme of the nonvis branch.
The text was updated successfully, but these errors were encountered:
As an enhancement to #26, it would be great for the network to take in any kind of state as specified by the
rlenvs
API, as long as the state is a single tensor. This is slightly restrictive, but with the-modelBody
option a lot can still be done.Major changes would be to a) make visual preprocessing more explicit as options and b) have environments output a 3D array as part of a
getDisplay
method so that visuals can still be provided. An option also needs to added to discretise/not discretise the experience replay memory.A "roadmap" can be seen in the readme of the
nonvis
branch.The text was updated successfully, but these errors were encountered: