Sushrut Bhalla

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 28 citations into it
• Artificial Intelligence — 25 citations into it

Whom Sushrut Bhalla trusts overall

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

1. Jakob N. Foerster
2. Hado van Hasselt
3. Igor Mordatch
4. Volodymyr Mnih
5. Pieter Abbeel
6. Richard S. Sutton
7. Geoffrey E. Hinton
8. Sainbayar Sukhbaatar
9. Eric Jang
10. Tejas D. Kulkarni

Papers from Sushrut Bhalla's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Deep Multi Agent Reinforcement Learning for Autonomous Driving (2020) — 60 citations