ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.05746
  4. Cited By
Analyzing Human Models that Adapt Online

Analyzing Human Models that Adapt Online

9 March 2021
Andrea V. Bajcsy
Anand Siththaranjan
Claire Tomlin
Anca Dragan
    OffRL
ArXivPDFHTML

Papers citing "Analyzing Human Models that Adapt Online"

5 / 5 papers shown
Title
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions
Haimin Hu
Jonathan A. DeCastro
Deepak Gopinath
Guy Rosman
Naomi Ehrich Leonard
J. F. Fisac
83
5
0
14 Jun 2024
A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision
  Avoidance
A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance
Andrea V. Bajcsy
Sylvia Herbert
David Fridovich-Keil
J. F. Fisac
Sampada Deglurkar
Anca Dragan
Claire Tomlin
57
68
0
14 Nov 2018
Understanding the Acceleration Phenomenon via High-Resolution
  Differential Equations
Understanding the Acceleration Phenomenon via High-Resolution Differential Equations
Bin Shi
S. Du
Michael I. Jordan
Weijie J. Su
58
259
0
21 Oct 2018
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
AAML
74
271
0
06 May 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive
  Meta-Learning
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Tianhe Yu
Chelsea Finn
Annie Xie
Sudeep Dasari
Tianhao Zhang
Pieter Abbeel
Sergey Levine
67
360
0
05 Feb 2018
1