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• Meta-Q-Learning
  2019 · 14 citations
• Constrained Convolutional-recurrent Networks To Improve Speech Quality With Low Impact On Recognition Accuracy
  2018 · 6 citations
• Continuous Doubly Constrained Batch Reinforcement Learning
  2021 · 6 citations
• P3O: Policy-on Policy-off Policy Optimization
  2019 · 4 citations
• DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning
  2020 · 3 citations
• Resetting the Optimizer in Deep RL: An Empirical Study
  2023 · 3 citations
• Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
  2017 · 2 citations
• Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
  2017 · 2 citations
• Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges
  2022 · 2 citations
• Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges
  2022 · 2 citations
• Faster Deep Reinforcement Learning with Slower Online Network
  2021 · 1 citations
• Budgeting Counterfactual for Offline RL
  2023 · 1 citations
• Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training
  2026
• Understanding the Challenges in Iterative Generative Optimization with LLMs
  2026
• Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy
  2018