André Barreto

Successor Features for Transfer in Reinforcement Learning

André Barreto, Will Dabney, Rémi Munos et al. · UCL Discovery (University College London) · 2019 · 208 citations · Full text

Computing, Computer Science, Artificial Intelligence +15

The predictron: end-to-end learning and planning

David Silver, Hado van Hasselt, Matteo Hessel et al. · International Conference on Machine Learning · 2017 · 96 citations

Computing, Computer Science, Artificial Intelligence +13

The Predictron: End-To-End Learning and Planning

David Silver, Hado van Hasselt, Matteo Hessel et al. · arXiv (Cornell University) · 2016 · 90 citations · Full text

Computing, Computer Science, Artificial Intelligence +13

Fast reinforcement learning with generalized policy updates

André Barreto, Shaobo Hou, Diana Borsa et al. · Proceedings of the National Academy of Sciences · 2020 · 82 citations · Full text

Computing, Computer Science, Artificial Intelligence +14

Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement

André Barreto, Diana Borsa, John Quan et al. · arXiv (Cornell University) · 2019 · 57 citations · Full text

Computing, Computer Science, Artificial Intelligence +11