Anastasiia Ignateva

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Anastasiia Ignateva trusts overall

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

1. Ronald J. Williams

Papers from Anastasiia Ignateva's perspective

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

1. Long Short-Term Memory
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. Human-level control through deep reinforcement learning
4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
5. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
6. Recurrent Models of Visual Attention
7. Policy Gradient Methods for Reinforcement Learning with Function Approximation
8. High-Dimensional Continuous Control Using Generalized Advantage Estimation
9. Deep Reinforcement Learning with Double Q-Learning
10. Gradient-based learning applied to document recognition

Their papers

• Deep Attention Recurrent Q-Network (2015) — 170 citations