Will Dabney

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Evolutionary Algorithms and Applications, Advanced Bandit Algorithms Research, Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI)

Most-Cited Works

• → Rainbow: Combining Improvements in Deep Reinforcement Learning(2018)1,691 cited
• → Distributional Reinforcement Learning With Quantile Regression(2018)489 cited
• → A distributional code for value in dopamine-based reinforcement learning(2020)455 cited
• → Distributed Distributional Deterministic Policy Gradients(2018)283 cited
• Recurrent Experience Replay in Distributed Reinforcement Learning.(2018)
• → The Cramer Distance as a Solution to Biased Wasserstein Gradients(2017)252 cited
• → A Distributional Perspective on Reinforcement Learning(2017)241 cited
• → Successor Features for Transfer in Reinforcement Learning(2019)208 cited
• → Implicit Quantile Networks for Distributional Reinforcement Learning(2018)197 cited