Simon Egerton

Reinforcement Learning · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it

Whom Simon Egerton trusts overall

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

1. Richard S. Sutton
2. Michael L. Littman
3. Christopher J. C. H. Watkins
4. Andrew Barto
5. Lucian Busoniu
6. Peter S. Dayan

Papers from Simon Egerton's perspective

Ordered by how strongly the researchers Simon Egerton trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Learning to predict by the methods of temporal differences
3. Q-learning
4. Friend-or-Foe Q-learning in General-Sum Games
5. Learning and satiation of response in intrinsically motivated complex puzzle performance by monkeys.
6. The magical number seven plus or minus two: some limits on our capacity for processing information.
7. The HPA axis in major depression: classical theories and new developments. (Trends in Neurosciences)
8. Multi-agent Reinforcement Learning: An Overview
9. The effects of stress and stress hormones on human cognition: Implications for the field of brain and cognition. (Brain and Cognition)
10. The Temporal Dynamics Model of Emotional Memory Processing: A Synthesis on the Neurobiological Basis of Stress-Induced Amnesia, Flashbulb and Traumatic Memories, and the Yerkes-Dodson Law (Journal of Neural Transplantation and Plasticity)

Their papers

• Reinforcement Learning in non-stationary environments: An intrinsically motivated stress based memory retrieval performance (SBMRP) model (2014) — 10 citations