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• A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
  2016 · 23 citations
• 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
• Model-Based Regularization for Deep Reinforcement Learning with Transcoder Networks
  2018 · 6 citations
• Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning
  2019 · 3 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
• Variational Inference for Model-Free and Model-Based Reinforcement Learning
  2022