Arambam James Singh

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it
• Artificial Intelligence — 5 citations into it

Whom Arambam James Singh trusts overall

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

1. Richard S. Sutton
2. Doina Precup
3. Marco A. Wiering
4. Andrew Barto
5. Richard D. McKelvey
6. Chris Amato
7. Satinder Singh
8. Sridhar Mahadevan
9. Leslie Pack Kaelbling
10. Thomas R. Palfrey

Papers from Arambam James Singh's perspective

Ordered by how strongly the researchers Arambam James Singh trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Reinforcement Learning: An Introduction
6. Long Short-Term Memory
7. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Policy Gradient Methods for Reinforcement Learning with Function Approximation
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Hierarchical Multiagent Reinforcement Learning for Maritime Traffic Management (2020) — 41 citations