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• Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization
  2021 · 3 citations
• Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
  2020 · 2 citations
• Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective
  2025
• Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots
  2022
• Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees
  2022