Hamid Reza Maei
Reinforcement Learning · 2008–2018
A researcher in the Science corpus: 9 papers; trusts 56 researchers and is trusted by 282 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 90 citations into it; #89 of 2,242 by trust here, #210 by citations
- Artificial Intelligence — 28 citations into it; #1,744 of 35,345 by trust here, #3,783 by citations
- Optimization & Training — 12 citations into it; #180 of 2,601 by trust here, #271 by citations
- Computational Theory and Mathematics — 11 citations into it
- Control and Systems Engineering — 9 citations into it
- Management Science and Operations Research — 8 citations into it; #695 of 11,946 by trust here, #2,310 by citations
- Statistics and Probability — 8 citations into it
- Finance — 6 citations into it
Whom Hamid Reza Maei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Leemon C. Baird III
- Vivek Shripad Borkar
- Csaba Szepesvari
- Andrew Barto
- Dimitri P. Bertsekas
- Doina Precup
- John N. Tsitsiklis
- Justin A. Boyan
- Shalabh Bhatnagar
Who trusts Hamid Reza Maei overall
- Hado van Hasselt
- A. Mahmood
- Richard S. Sutton
- Martha White
- Shangtong Zhang
- Bo Liu
- Adam White
- J. Urgen Schmidhuber
- Csaba Szepesvari
- Sergey Levine
Papers from Hamid Reza Maei's perspective
Ordered by how strongly the researchers Hamid Reza Maei trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Fast gradient-descent methods for temporal-difference learning with linear function approximation (2009) — 711 citations
- Gradient temporal-difference learning algorithms (2011) — 176 citations
- GQ(lambda): A general gradient algorithm for temporal-difference prediction learning with eligibility traces (2010) — 153 citations
- Convergent Actor-Critic Algorithms Under Off-Policy Training and Function Approximation (2018) — 36 citations
- A Batch, Off-Policy, Actor-Critic Algorithm for Optimizing the Average Reward (2016) — 22 citations
- Toward Off-Policy Learning Control with Function Approximation (2010) — 264 citations
- Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation (2009) — 307 citations
- A convergent O ( n ) algorithm for off-policy temporal-difference learning with linear function approximation (2008) — 199 citations
- A Convergent O(n) Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation (2008) — 277 citations