Anestis Fachantidis

2016

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

Whom Anestis Fachantidis trusts overall

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

1. Andrew Barto
2. Richard S. Sutton
3. Peter Stone
4. Eric Wiewiora
5. Andrew W. Moore
6. Sebastian Thrun

Papers from Anestis Fachantidis's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Human-level control through deep reinforcement learning
5. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
8. Learning internal representations by error propagation
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Knowledge transfer in reinforcement learning (2016) — 30 citations