Steven Dalton

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 17 citations into it

Whom Steven Dalton trusts overall

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

1. Marc G. Bellemare
2. Mohammad Babaeizadeh
3. Adam Stooke
4. Tim Salimans
5. Ronald J. Williams
6. Richard S. Sutton
7. Edoardo Conti
8. Felipe Petroski Such
9. Volodymyr Mnih
10. Pieter Abbeel

Who trusts Steven Dalton overall

1. Brennan Shacklett
2. Erik Wijmans

Papers from Steven Dalton's perspective

Ordered by how strongly the researchers Steven Dalton 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Asynchronous Methods for Deep Reinforcement Learning
8. ImageNet: A large-scale hierarchical image database
9. Human-level control through deep reinforcement learning
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Accelerating Reinforcement Learning through GPU Atari Emulation (2019) — 48 citations