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ENTITY imitation learning

imitation learning

PulseAugur coverage of imitation learning — every cluster mentioning imitation learning across labs, papers, and developer communities, ranked by signal.

Total · 30d
8
8 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
7
7 over 90d
TIER MIX · 90D
SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_25176 ·

    Georgia Tech's SAIL system enables robots to learn and perform tasks 4x faster than humans

    Researchers at Georgia Tech have developed a new system called SAIL (Speed Adaptation for Imitation Learning) that enables robots to perform tasks significantly faster than human instructors. Traditional imitation learn…

  2. TOOL · CL_25539 ·

    TAVIS benchmark advances robotics imitation learning with active vision

    Researchers have introduced TAVIS, a new benchmark designed to evaluate active vision in imitation learning for robotics. The benchmark includes two task suites, TAVIS-Head and TAVIS-Hands, built on humanoid embodiments…

  3. TOOL · CL_25622 ·

    New LC-MAPF model enhances multi-agent pathfinding with local communication

    Researchers have developed a new machine learning model called LC-MAPF designed to improve coordination in large-scale multi-agent pathfinding scenarios. This model incorporates a learnable communication module that all…

  4. RESEARCH · CL_20474 ·

    Researchers develop provable imitation learning for plasma control in fusion

    Researchers have developed a theoretical framework for imitation learning to control instabilities in partially-observed Vlasov--Poisson equations, a key challenge in nuclear fusion. The method distills expert policies,…

  5. RESEARCH · CL_18306 ·

    AI framework SeqLight automates stage lighting control using imitation learning

    Researchers have developed SeqLight, a deep learning framework designed to automate stage lighting control inspired by music. This hierarchical model maps music to the Hue-Saturation-Value (HSV) color space for multiple…

  6. RESEARCH · CL_18320 ·

    New framework evaluates autonomous driving AI robustness against real-world adversarial attacks

    Researchers have developed a new framework for evaluating the real-time robustness of autonomous driving systems against adversarial attacks. This approach utilizes real-world intersection driving data, moving beyond pu…