Mengxi Li

Reinforcement Learning · with Bohg · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it; #1,932 of 2,242 by trust here, #2,160 by citations
• Artificial Intelligence — 15 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it; #17,999 of 21,575 by trust here, #20,271 by citations

Whom Mengxi Li trusts overall

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

1. Dylan P. Losey
2. Shervin Javdani
3. Brenna D. Argall
4. Siddhartha S. Srinivasa
5. Carl Doersch
6. Sugato Basu
7. Matei T. Ciocarlie
8. Krishnan Srinivasan
9. Rico Jonschkowski

Who trusts Mengxi Li overall

1. Siddharth Karamcheti
2. Megha Srivastava
3. Dorsa Sadigh
4. A. Zhai

Papers from Mengxi Li's perspective

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

1. A policy-blending formalism for shared control
2. Semi-Supervised Learning
3. Assistive teleoperation of robot arms via automatic time-optimal mode switching
4. Shared autonomy via hindsight optimization for teleoperation and teaming
5. Tutorial on Variational Autoencoders
6. Autonomy in Rehabilitation Robotics: An Intersection
7. Semi-Supervised Learning
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction
10. Hand Posture Subspaces for Dexterous Robotic Grasping

Their papers

• Learning User-Preferred Mappings for Intuitive Robot Control (2020) — 26 citations
• Learning latent actions to control assistive robots (2021) — 79 citations