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• Learning Action Representations for Reinforcement Learning
  2019 · 22 citations
• Posterior Sampling for Large Scale Reinforcement Learning
  2017 · 19 citations
• Optimizing for the Future in Non-Stationary MDPs
  2020 · 12 citations
• Towards Safe Policy Improvement for Non-Stationary MDPs
  2020 · 9 citations
• Reinforcement Learning When All Actions are Not Always Available
  2019 · 8 citations
• Reinforcement Learning for Strategic Recommendations
  2020 · 2 citations
• Edge-Compatible Reinforcement Learning for Recommendations
  2021
• Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning
  2021
• Off-Policy Evaluation in Embedded Spaces
  2022
• Explaining RL Decisions with Trajectories
  2023
• Coagent Networks: Generalized and Scaled
  2023