NIPS Proceedingsβ

Shimon Whiteson

10 Papers

  • DAC: The Double Actor-Critic Architecture for Learning Options (2019)
  • Fast Efficient Hyperparameter Tuning for Policy Gradient Methods (2019)
  • Generalized Off-Policy Actor-Critic (2019)
  • Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning (2019)
  • MAVEN: Multi-Agent Variational Exploration (2019)
  • Multi-Agent Common Knowledge Reinforcement Learning (2019)
  • VIREL: A Variational Inference Framework for Reinforcement Learning (2019)
  • Dynamic-Depth Context Tree Weighting (2017)
  • Learning to Communicate with Deep Multi-Agent Reinforcement Learning (2016)
  • Copeland Dueling Bandits (2015)