Subramanya P. Nageshrao
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Reinforcement Learning — 20 citations into it
- Computational Theory and Mathematics — 11 citations into it
- Control and Systems Engineering — 7 citations into it
Whom Subramanya P. Nageshrao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin Treiber
- Diederik P. Kingma
- Richard S. Sutton
- Plamen Parvanov Angelov
- Kalyanmoy Deb
- Timothy P. Lillicrap
- Jimmy Ba
- Geoffrey E. Hinton
- Jan Peters
- Yoshua Bengio
Who trusts Subramanya P. Nageshrao overall
Papers from Subramanya P. Nageshrao's perspective
Ordered by how strongly the researchers Subramanya P. Nageshrao 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Reinforcement Learning: An Introduction
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Actor-critic reinforcement learning for tracking control in robotics (2016) — 25 citations
- Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems (2020) — 20 citations
- Interpretable Approximation of a Deep Reinforcement Learning Agent as a Set of If-Then Rules (2019) — 10 citations