José Ribas-Fernandes

Cognitive Neuroscience · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 18 citations into it
• Reinforcement Learning — 18 citations into it

Whom José Ribas-Fernandes trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andrew Barto
2. Yael Niv
3. Richard S. Sutton
4. Thomas G. Dietterich
5. Matthew Botvinick

Papers from José Ribas-Fernandes's perspective

Ordered by how strongly the researchers José Ribas-Fernandes trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
3. Feudal Reinforcement Learning
4. Intrinsically Motivated Reinforcement Learning
5. A possibility for implementing curiosity and boredom in model-building neural controllers
6. Curious model-building control systems
7. Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
8. Recent Advances in Hierarchical Reinforcement Learning
9. Reinforcement Learning with Hierarchies of Machines
10. A Neural Substrate of Prediction and Reward

Their papers

• Subgoal- and Goal-related Reward Prediction Errors in Medial Prefrontal Cortex (2019) — 27 citations
• Divide and Conquer: Hierarchical Reinforcement Learning and Task Decomposition in Humans (2013) — 32 citations