EASpace: Enhanced Action Space for Policy Transfer.Formulating expert policies as macro actions promises to alleviate the long-horizon issue via structured exploration and efficient credit assignment.  In this article, a novel algorithm named enhanced action space (EASpace) is proposed, which formulates macro actions in an alternative form to accelerate the learning process using multiple available suboptimal expert policies.  Specifically, EASpace formulates each expert policy into multiple macro actions with different execution times.  The efficiency of EASpace is illustrated by a grid-based game and a multiagent pursuit problem. 
EASpace
EASpace: Enhanced Action Space for Policy Transfer.Formulating expert policies as macro actions promises to alleviate the long-horizon issue via structured exploration and efficient credit assignment.  In this article, a novel algorithm named enhanced action space (EASpace) is proposed, which formulates macro actions in an alternative form to accelerate the learning process using multiple available suboptimal expert policies.  Specifically, EASpace formulates each expert policy into multiple macro actions with different execution times.  The efficiency of EASpace is illustrated by a grid-based game and a multiagent pursuit problem. 
EASpace
EASpace: Enhanced Action Space for Policy Transfer.Formulating expert policies as macro actions promises to alleviate the long-horizon issue via structured exploration and efficient credit assignment.  In this article, a novel algorithm named enhanced action space (EASpace) is proposed, which formulates macro actions in an alternative form to accelerate the learning process using multiple available suboptimal expert policies.  Specifically, EASpace formulates each expert policy into multiple macro actions with different execution times.  The efficiency of EASpace is illustrated by a grid-based game and a multiagent pursuit problem. 
EASpace