ARSQ factorizes the soft Q-function into normalized per-dimension advantages and generates actions auto-regressively, improving continuous control from suboptimal demonstration data.
Decision transformer: Reinforcement learning via sequence modeling
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Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network
ARSQ factorizes the soft Q-function into normalized per-dimension advantages and generates actions auto-regressively, improving continuous control from suboptimal demonstration data.