Search Results for author:
Found 2 papers, 1 papers with code
Reusability and Transferability of Macro Actions for Reinforcement Learning
However, by using a proper macro action, defined as a sequence of primitive actions, an agent is able to bypass intermediate states to a farther state and facilitate its learning procedure.
Toward Synergism in Macro Action Ensembles
Macro actions have been demonstrated to be beneficial for the learning processes of an agent.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
