Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling

Neural Information Processing Systems 

Recent works have shown the remarkable superiority of transformer models in reinforcement learning (RL), where the decision-making problem is formulated as sequential generation.

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