Andrea Lockerd Thomaz

Artificial Intelligence · 2005–2017

A researcher in the Science corpus: 16 papers; trusts 71 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 114 citations into it; #6,343 of 35,345 by trust here, #5,638 by citations
• Reinforcement Learning — 100 citations into it; #594 of 2,242 by trust here, #565 by citations
• Control and Systems Engineering — 87 citations into it; #731 of 8,257 by trust here, #396 by citations
• Computer Vision and Pattern Recognition — 25 citations into it; #16,091 of 21,575 by trust here, #13,815 by citations
• Robotics & Control — 24 citations into it; #108 of 609 by trust here, #190 by citations
• Biomedical Engineering — 20 citations into it
• Cognitive Neuroscience — 18 citations into it
• Social Psychology — 16 citations into it; #3,458 of 15,694 by trust here, #3,984 by citations

Whom Andrea Lockerd Thomaz trusts overall

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

1. William D. Smart
2. Cynthia Lynn Breazeal
3. Richard S. Sutton
4. J. Clouse
5. Stefan Schaal
6. Leslie Pack Kaelbling
7. Sylvain Calinon
8. Maja J. Mataric
9. Aude Gemma Billard
10. Andrew Barto

Who trusts Andrea Lockerd Thomaz overall

1. W. B. Knox
2. Javier García
3. Sonia Chernova
4. Stefanos Nikolaidis
5. Peter Stone
6. Huan Ling
7. Fernando Fernández
8. Anis Najar
9. Sanmit Narvekar
10. Saleema Amershi

Papers from Andrea Lockerd Thomaz's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Reinforcement Learning: An Introduction
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Keyframe-based Learning from Demonstration (2012) — 231 citations
• Learning From Explanations Using Sentiment and Advice in RL (2017) — 76 citations
• Trajectories and keyframes for kinesthetic teaching: A human-robot interaction perspective (2012) — 294 citations
• Teachable robots: Understanding human teaching behavior to build more effective robot learners (2008) — 450 citations
• Object focused q-learning for autonomous agents (2013) — 29 citations
• Robot Learning from Human Teachers (2014) — 281 citations
• Robot learning via socially guided exploration (2007) — 41 citations
• Learning about objects with human teachers (2009) — 93 citations
• Effects of nonverbal communication on efficiency and robustness in human-robot teamwork (2005) — 653 citations
• Using perspective taking to learn from ambiguous demonstrations (2006) — 135 citations
• Exploration from Demonstration for Interactive Reinforcement Learning (2016) — 91 citations
• Policy Shaping with Human Teachers (2015) — 91 citations
• Policy Shaping: Integrating Human Feedback with Reinforcement Learning (2013) — 484 citations
• Mixed-Initiative Active Learning (2012)
• Novel Interaction Strategies for Learning from Teleoperation (2012) — 27 citations
• Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance (2006) — 313 citations