Before revision:  Off-policy learning (OPL), on the other hand, is the problem of finding an optimal policy using historical data. In recent OPE and OPL contexts, most of the studies have focused on one-player cases, and not on more than two-player cases.
After revision:  In the recent OPE context, most studies have focused on one-player cases, and not on more than two-player cases.