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• An Information-Theoretic Optimality Principle for Deep Reinforcement Learning
  2017 · 16 citations
• A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
  2019 · 10 citations
• Disentangled Skill Embeddings for Reinforcement Learning
  2019 · 9 citations
• Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning
  2019 · 3 citations
• Model-Free Risk-Sensitive Reinforcement Learning
  2021 · 2 citations
• Your Policy Regularizer is Secretly an Adversary
  2022 · 2 citations
• Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
  2021 · 1 citations
• Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes
  2016