Qingzhang Zeng

TaskLoom: Weaving Knowledge Across Tasks in World Models

Sample efficiency remains one of the central challenges in modern deep reinforcement learning (DRL). In recent years, world model approaches have significantly improved the sample efficiency of model-based reinforcement learning (MBRL) by enabling policy learning in imagination, thereby reducing the…