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Tianmin Shu

26 papers hereh-index 212.5k citations48 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author17
  • last author1

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.AI12
  • cs.RO5
  • cs.CV4
  • cs.CL2
  • cs.LG2
  • cs.HC1
same name
  • Tianmin Shu — 18 papers, h 9
  • Tianmin Shu — 11 papers, h 4
  • Tianmin Shu — 5 papers, h 4
  • Tianmin Shu — 3 papers, h 2
  • Tianmin Shu — 1 paper
  • Tianmin Shu — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedHierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning

58 citations · 300 across the 26 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.RO2021

Incorporating Rich Social Interactions Into MDPs

Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu +5

Much of what we do as humans is engage socially with other agents, a skill that robots must also eventually possess. We demonstrate that a rich theory of social interactions origin…

cs.AI2021

PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception

Aviv Netanyahu, Tianmin Shu, Boris Katz +2

The ability to perceive and reason about social interactions in the context of physical environments is core to human social intelligence and human-machine cooperation. However, no…

cs.RO2021★ 8 cited

Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration

Xiaofeng Gao, Luyao Yuan, Tianmin Shu +2

Aligning humans' assessment of what a robot can do with its true capability is crucial for establishing a common ground between human and robot partners when they collaborate on a…

cs.AI2021★ 1 cited

AGENT: A Benchmark for Core Psychological Reasoning

Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan +6

For machine agents to successfully interact with humans in real-world settings, they will need to develop an understanding of human mental life. Intuitive psychology, the ability t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.