Hindsight-relabelled opponent goals

New opponent modeling technique stabilizes deep reinforcement learning in competitive games

Researchers have developed a novel opponent modeling technique for deep reinforcement learning agents operating in partially observable competitive games. This method utilizes a transformer trained with hindsight-relabe…