Damien Allonsius

Reinforcement Learning · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 17 citations into it
• Artificial Intelligence — 11 citations into it

Whom Damien Allonsius trusts overall

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

1. Richard S. Sutton
2. Martin L. Puterman
3. Tom Schaul
4. Alexander L. Strehl

Papers from Damien Allonsius's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
8. Hindsight Experience Replay
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Hierarchical reinforcement learning for efficient exploration and transfer (2020) — 10 citations
• The Llama 3 Herd of Models (2024) — 17,085 citations