Siddarth Jain

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it
• Cognitive Neuroscience — 5 citations into it; #7,655 of 10,852 by trust here, #8,619 by citations
• Reinforcement Learning — 5 citations into it; #1,078 of 2,242 by trust here, #1,864 by citations
• Social Psychology — 5 citations into it

Whom Siddarth Jain trusts overall

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

1. Shervin Javdani
2. Siddhartha S. Srinivasa
3. Anca Dragan
4. Chris L. Baker
5. Deepak Edakkattil Gopinath
6. Andreas Hula
7. E. Todorov
8. J. Bagnell
9. Rebecca Saxe
10. P. R. Montague

Who trusts Siddarth Jain overall

1. Siddharth Karamcheti
2. Dylan P. Losey
3. Dorsa Sadigh
4. Megha Srivastava
5. Hong Jun Jeon
6. A. Zhai
7. Percy Liang
8. Brenna D. Argall
9. Xingjiao Wu

Papers from Siddarth Jain's perspective

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

1. Maximum Entropy Inverse Reinforcement Learning
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. A policy-blending formalism for shared control
6. Shared Autonomy via Hindsight Optimization
7. GENERATIVE ADVERSARIAL NETS
8. Planning and Acting in Partially Observable Stochastic Domains
9. Reinforcement Learning: An Introduction
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Probabilistic Human Intent Recognition for Shared Autonomy in Assistive Robotics (2019) — 137 citations
• Human-in-the-Loop Optimization of Shared Autonomy in Assistive Robotics (2017) — 177 citations