Papers

• Reinforcement learning for spin torque oscillator tasks (2025)
  Jakub Mojsiejuk et al.
  1.44
• Model-free Optical Processors using In Situ Reinforcement Learning with Proximal Policy Optimization (2025)
  Yuhang Li et al.
  1.33
• A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction (2025)
  Xiaoliang Chen (1) et al.
  1.22
• PICTS: A Novel Deep Reinforcement Learning Approach for Dynamic P-I Control in Scanning Probe Microscopy (2025)
  Ziwei Wei et al.
  1.06
• Suppressing Modulation Instability with Reinforcement Learning (2024)
  Nikolay Kalmykov et al.
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• Reliability-Aware Bayesian Optimization of 1310 nm PCSELs with FDTD Verification (2026)
  Jinglin Yu et al.
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