• Xeuron logo
Discover
  • Home
  • Popular
  • Hot & Trending
  • Explore
  • My Extractions
Create
  • SubXeurons
    • iPSC-Cardio Cells
    • HALO: A Unified Visio
  • Publications
    • Self-organizing human heart assembloids with autologous and developmentally relevant cardiac neural crest-derived tissues
    • Path Planning of Cleaning Robot with Reinforcement Learning
    • Reinforcement Learning Approaches in Social Robotics
    • Robotic Packaging Optimization with Reinforcement Learning
    • A Concise Introduction to Reinforcement Learning in Robotics
    • Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics
    • Robotic Surgery With Lean Reinforcement Learning
    • Residual Reinforcement Learning for Robot Control
    • Autonomous robotic nanofabrication with reinforcement learning
    • Heterogeneous Multi-Robot Reinforcement Learning
    • Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
    • Reinforcement learning for freeform robot design
    • Geometric Reinforcement Learning For Robotic Manipulation
    • On-Robot Bayesian Reinforcement Learning for POMDPs
    • Efficient Content-Based Sparse Attention with Routing Transformers
    • A foundation model of transcription across human cell types
    • Transformer AI
    • HALO, a unified VLA model that enables embodied multimodal chain-of-thought (EM-CoT) reasoning through a sequential process of textual task reasoning, visual subgoal prediction for fine-grained guidan
    • HALO: A Unified Vision-Language-Action Model for Embodied Multimodal Chain-of-Thought Reasoning
  • Events
    • No events yet
HomeSearchEventsProfileCreate

Publications

Top 5 by date

  • S
    Self-organizing human heart assembloids with autologous and developmentally relevant cardiac neural crest-derived tissues

    Human neural crest heart assembloids resembling the major directions of neural crest differentiation in the human embryonic heart, including parasympathetic innervation and the mesenchymal component of the outflow tract, provide a human-relevant embryonic platform for studying congenital heart defects and drug safety.

  • P
    Path Planning of Cleaning Robot with Reinforcement Learning

    Recently, as the demand for cleaning robots has steadily increased, therefore household electricity consumption is also increasing. To solve this electricity consumption issue, the problem of efficien

  • R
    Reinforcement Learning Approaches in Social Robotics

    This article surveys reinforcement learning approaches in social robotics. Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with i

  • R
    Robotic Packaging Optimization with Reinforcement Learning

    Intelligent manufacturing is becoming increasingly important due to the growing demand for maximizing productivity and flexibility while minimizing waste and lead times. This work investigates automat

  • A
    A Concise Introduction to Reinforcement Learning in Robotics

    One of the biggest hurdles robotics faces is the facet of sophisticated and hard-to-engineer behaviors. Reinforcement learning offers a set of tools, and a framework to address this problem. In parall

Top 5 by title (A–Z)

  • A
    A Concise Introduction to Reinforcement Learning in Robotics

    One of the biggest hurdles robotics faces is the facet of sophisticated and hard-to-engineer behaviors. Reinforcement learning offers a set of tools, and a framework to address this problem. In parall

  • A
    A foundation model of transcription across human cell types

    Introducing new AI model GET (general expression transformer), an interpretable foundation model designed to uncover regulatory grammars across 213 human fetal and adult cell types

  • A
    Autonomous robotic nanofabrication with reinforcement learning

    The ability to handle single molecules as effectively as macroscopic building-blocks would enable the construction of complex supramolecular structures inaccessible to self-assembly. The fundamental c

  • E
    Efficient Content-Based Sparse Attention with Routing Transformers

    Despite its effectiveness, self-attention suffers from quadratic compute and memory requirements with respect to sequence length. Our model, the Routing Transformer, endows self-attention with a sparse routing module based on online k-means while reducing the overall complexity of attention to O(n1.5d) from O(n2d) for sequence length n and hidden dimension d.

  • G
    Geometric Reinforcement Learning For Robotic Manipulation

    Reinforcement learning (RL) is a popular technique that allows an agent to learn by trial and error while interacting with a dynamic environment. The traditional Reinforcement Learning (RL) approach h

Top 5 most recent

Same as "by date" until upvotes/views are added.

  • S
    Self-organizing human heart assembloids with autologous and developmentally relevant cardiac neural crest-derived tissues

    Human neural crest heart assembloids resembling the major directions of neural crest differentiation in the human embryonic heart, including parasympathetic innervation and the mesenchymal component of the outflow tract, provide a human-relevant embryonic platform for studying congenital heart defects and drug safety.

  • P
    Path Planning of Cleaning Robot with Reinforcement Learning

    Recently, as the demand for cleaning robots has steadily increased, therefore household electricity consumption is also increasing. To solve this electricity consumption issue, the problem of efficien

  • R
    Reinforcement Learning Approaches in Social Robotics

    This article surveys reinforcement learning approaches in social robotics. Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with i

  • R
    Robotic Packaging Optimization with Reinforcement Learning

    Intelligent manufacturing is becoming increasingly important due to the growing demand for maximizing productivity and flexibility while minimizing waste and lead times. This work investigates automat

  • A
    A Concise Introduction to Reinforcement Learning in Robotics

    One of the biggest hurdles robotics faces is the facet of sophisticated and hard-to-engineer behaviors. Reinforcement learning offers a set of tools, and a framework to address this problem. In parall