Revision history of "Reinforcement Learning with Adaptive Representation Learning"

From ISLAB/CAISR
Jump to navigationJump to search

Diff selection: Mark the radio boxes of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

  • curprev 14:38, 5 October 2020‎ Peyman talk contribs‎ m 2,534 bytes -172‎ This project targets finding representations that make the reinforcement learning more efficient in terms of finding an easier state to action mapping.
  • curprev 14:35, 5 October 2020‎ Peyman talk contribs‎ 2,706 bytes +2,706‎ Created page with "{{StudentProjectTemplate |Summary=In reinforcement learning, most of the time, the state representation and actions are fixed and only the probabilities of the right action gi..."
Retrieved from "https://mw.hh.se/caisr/index.php?title=Reinforcement_Learning_with_Adaptive_Representation_Learning"