← authors · overview

• A Distributional Perspective on Reinforcement Learning
  2017 · 241 citations
• Implicit Quantile Networks for Distributional Reinforcement Learning
  2018 · 203 citations
• Successor Features for Transfer in Reinforcement Learning
  2016 · 184 citations
• Distributional Reinforcement Learning with Quantile Regression
  2017 · 150 citations
• Safe and Efficient Off-Policy Reinforcement Learning
  2016 · 94 citations
• Observe and Look Further: Achieving Consistent Performance on Atari
  2018 · 87 citations
• Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
  2019 · 57 citations
• An Analysis of Categorical Distributional Reinforcement Learning
  2018 · 43 citations
• Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
  2020 · 42 citations
• Autoregressive Quantile Networks for Generative Modeling
  2018 · 34 citations
• Monte-Carlo Tree Search as Regularized Policy Optimization
  2020 · 34 citations
• Universal Successor Features Approximators
  2018 · 24 citations
• Statistics and Samples in Distributional Reinforcement Learning
  2019 · 24 citations
• RL-finetuning LLMs from on- and off-policy data with a single algorithm
  2025 · 13 citations
• Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
  2021 · 9 citations