Shervin Javdani Carnegie

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 13 citations into it; #1,965 of 2,242 by trust here, #2,063 by citations
• Artificial Intelligence — 8 citations into it

Whom Shervin Javdani Carnegie trusts overall

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

1. Anca Dragan

Who trusts Shervin Javdani Carnegie overall

1. Dorsa Sadigh
2. Dylan P. Losey

Papers from Shervin Javdani Carnegie's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. Maximum Entropy Inverse Reinforcement Learning
3. Generative Adversarial Imitation Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Planning and Acting in Partially Observable Stochastic Domains
6. ImageNet classification with deep convolutional neural networks
7. Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
8. Gradient-based learning applied to document recognition
9. Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy
10. Planning-based prediction for pedestrians (2009 IEEE/RSJ International Conference on Intelligent Robots and Systems)

Their papers

• Shared autonomy via hindsight optimization for teleoperation and teaming (2017) — 260 citations