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cs.LG2026
QuantFPFlow: Quantum Amplitude Estimation for Fokker--Planck Policy Optimisation in Continuous Reinforcement Learning
Abraham Itzhak Weinberg
We introduce \textbf{QuantFPFlow}, a reinforcement learning framework that integrates quantum amplitude estimation into the Fokker--Planck~(FP) formulation of stochastic policy opt…
cs.LG2025
Quantum Decision Transformers (QDT): Synergistic Entanglement and Interference for Offline Reinforcement Learning
Abraham Itzhak Weinberg
Offline reinforcement learning enables policy learning from pre-collected datasets without environment interaction, but existing Decision Transformer (DT) architectures struggle wi…