Closing the Gap between TD Learning and Supervised Learning with $Q$-Conditioned Maximization

Xing Lei, Zifeng Zhuang, Shentao Yang +6

Recently, supervised learning (SL) methodology has emerged as an effective approach for offline reinforcement learning (RL) due to their simplicity, stability, and efficiency. Howe…