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Timothy Mann

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Papers (6)

  1. Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates cs.LG · 2019 · author #5
  2. A Bayesian Approach to Robust Reinforcement Learning cs.LG · 2019 · author #3
  3. Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem cs.LG · 2018 · author #5
  4. A Dual Approach to Scalable Verification of Deep Networks cs.LG · 2018 · author #4
  5. Deep Reinforcement Learning in Large Discrete Action Spaces cs.AI · 2015 · author #7
  6. Off-policy evaluation for MDPs with unknown structure stat.ML · 2015 · author #3

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