Robert D. Vincent
Reinforcement Learning · 2008–2015
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 11 citations into it; #1,568 of 2,242 by trust here, #1,501 by citations
- Artificial Intelligence — 7 citations into it
Whom Robert D. Vincent trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Damien Ernst
- Pierre Geurts
- Geoffrey J. Gordon
- Shivaram Kalyanakrishnan
- Guanghua Hu
- Louis Wehenkel
- Richard S. Sutton
Who trusts Robert D. Vincent overall
- Adam E. Gaweda
- Chao Yu
- Pablo Escandell-Montero
- Michael Oberst
- Sergey Levine
- Yufan Zhao
- Jiming Liu
- Travis Mandel
Papers from Robert D. Vincent's perspective
Ordered by how strongly the researchers Robert D. Vincent trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Approximate solutions to markov decision processes
- Kernel-Based Reinforcement Learning
- A Markovian Decision Process
- Batch reinforcement learning in a complex domain
- Residual Algorithms: Reinforcement Learning with Function Approximation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning to predict by the methods of temporal differences
- ImageNet classification with deep convolutional neural networks
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
Their papers
- Chapter 16: Practical reinforcement learning in dynamic treatment regimes (2015) — 3 citations
- Adaptive control of epileptiform excitability in an in vitro model of limbic seizures (2013) — 26 citations
- Treating Epilepsy via Adaptive Neurostimulation: a Reinforcement Learning Approach (2009) — 78 citations
- Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning (2008) — 107 citations