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Discussion
Now PER is added, many of the basic DQNs are added. We move to DDPG. Primary goals:
DDPG algorithm for continuous envs
A way to get DDPG to work in a Discrete env like the maze for debugging.
HER: Hindsight Experience Replay is useful for speeding up learning / improve exploration. This will possibly involve some considerations in regards to data bunches and the MDPSlices.
Once these are done, is there a way to unify this under a single fit function?
The text was updated successfully, but these errors were encountered:
Discussion
Now PER is added, many of the basic DQNs are added. We move to DDPG. Primary goals:
The text was updated successfully, but these errors were encountered: