Tarun Gupta

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 97 citations into it
• Reinforcement Learning — 69 citations into it

Whom Tarun Gupta trusts overall

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

1. Tabish Rashid
2. John Schulman
3. Richard S. Sutton
4. Geoffrey E. Hinton
5. Tonghan Wang
6. Jakob N. Foerster
7. Jianhao Wang
8. Shimon Whiteson
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Tarun Gupta overall

1. Chao Yu

Papers from Tarun Gupta's perspective

Ordered by how strongly the researchers Tarun Gupta 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Asynchronous Methods for Deep Reinforcement Learning
9. Reinforcement Learning: An Introduction
10. Human-level control through deep reinforcement learning

Their papers

• RODE: Learning Roles to Decompose Multi-Agent Tasks (2020) — 286 citations
• Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? (2020) — 584 citations