Peter Corcoran
Reinforcement Learning · 2017
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 15 citations into it
- Artificial Intelligence — 9 citations into it
Whom Peter Corcoran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Volodymyr Mnih
- Longxin Lin
- Diederik P. Kingma
- Mohit Sewak
- van der D David Pol
- Andrew Barto
- Yann LeCun
- Richard S. Sutton
- Geoffrey E. Hinton
- Sascha Lange
Who trusts Peter Corcoran overall
Papers from Peter Corcoran's perspective
Ordered by how strongly the researchers Peter Corcoran trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Human-level control through deep reinforcement learning
- Asynchronous Methods for Deep Reinforcement Learning
- Long Short-Term Memory
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Attention is All you Need (Neural Information Processing Systems)