:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ma, Yecheng Jason, Hejna, Joey, Wahid, Ayzaan, Fu, Chuyuan, Shah, Dhruv, Liang, Jacky, Xu, Zhuo, Kirmani, Sean, Xu, Peng, Driess, Danny, Xiao, Ted, Tompson, Jonathan, Bastani, Osbert, Jayaraman, Dinesh, Yu, Wenhao, Zhang, Tingnan, Sadigh, Dorsa, Xia, Fei
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2411.04549
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robot Data Curation with Mutual Information Estimators
by: Hejna, Joey, et al.
Published: (2025)

Efficiently Generating Expressive Quadruped Behaviors via Language-Guided Preference Learning
by: Clark, Jaden, et al.
Published: (2025)

Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization
by: Yang, Jonathan, et al.
Published: (2025)

ALOHA Unleashed: A Simple Recipe for Robot Dexterity
by: Zhao, Tony Z., et al.
Published: (2024)

RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation
by: Nasiriany, Soroush, et al.
Published: (2024)

Data Retrieval with Importance Weights for Few-Shot Imitation Learning
by: Xie, Amber, et al.
Published: (2025)

MotIF: Motion Instruction Fine-tuning
by: Hwang, Minyoung, et al.
Published: (2024)

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
by: Chen, Boyuan, et al.
Published: (2024)

Tether: Autonomous Functional Play with Correspondence-Driven Trajectory Warping
by: Liang, William, et al.
Published: (2026)

Eurekaverse: Environment Curriculum Generation via Large Language Models
by: Liang, William, et al.
Published: (2024)

Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning
by: Hejna, Joey, et al.
Published: (2024)

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
by: Nasiriany, Soroush, et al.
Published: (2024)

So You Think You Can Scale Up Autonomous Robot Data Collection?
by: Mirchandani, Suvir, et al.
Published: (2024)

DrEureka: Language Model Guided Sim-To-Real Transfer
by: Ma, Yecheng Jason, et al.
Published: (2024)

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation
by: Bharadhwaj, Homanga, et al.
Published: (2024)

Self-Improving Embodied Foundation Models
by: Ghasemipour, Seyed Kamyar Seyed, et al.
Published: (2025)

Grounding Robot Generalization in Training Data via Retrieval-Augmented VLMs
by: Gao, Jensen, et al.
Published: (2026)

Asymptotic Normality of Generalized Low-Rank Matrix Sensing via Riemannian Geometry
by: Bastani, Osbert
Published: (2024)

Eureka: Human-Level Reward Design via Coding Large Language Models
by: Ma, Yecheng Jason, et al.
Published: (2023)

Contrastive Preference Learning: Learning from Human Feedback without RL
by: Hejna, Joey, et al.
Published: (2023)

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
by: Xu, Kan, et al.
Published: (2021)

Stochastic Bandits with ReLU Neural Networks
by: Xu, Kan, et al.
Published: (2024)

Choose, Don't Label: Multiple-Choice Query Synthesis for Program Disambiguation
by: Barnaby, Celeste, et al.
Published: (2026)

Stochastic Online Conformal Prediction with Semi-Bandit Feedback
by: Ge, Haosen, et al.
Published: (2024)

Are AI Capabilities Increasing Exponentially? A Competing Hypothesis
by: Ge, Haosen, et al.
Published: (2026)

Rethinking Algorithmic Fairness for Human-AI Collaboration
by: Ge, Haosen, et al.
Published: (2023)

RT-H: Action Hierarchies Using Language
by: Belkhale, Suneel, et al.
Published: (2024)

Beating the Winner's Curse via Inference-Aware Policy Optimization
by: Bastani, Hamsa, et al.
Published: (2025)

Improving Human Sequential Decision-Making with Reinforcement Learning
by: Bastani, Hamsa, et al.
Published: (2021)

Winner's Curse Drives False Promises in Data-Driven Decisions: A Case Study in Refugee Matching
by: Bastani, Hamsa, et al.
Published: (2026)

A Taxonomy for Evaluating Generalist Robot Manipulation Policies
by: Gao, Jensen, et al.
Published: (2025)

Synthesizing Trajectory Queries from Examples
by: Mell, Stephen, et al.
Published: (2026)

Efficient Data Collection for Robotic Manipulation via Compositional Generalization
by: Gao, Jensen, et al.
Published: (2024)

Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models
by: Shi, Junyao, et al.
Published: (2024)

Scaffolding Dexterous Manipulation with Vision-Language Models
by: de Bakker, Vincent, et al.
Published: (2025)

Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning
by: Si, Wenwen, et al.
Published: (2026)

Decaf: Improving Neural Decompilation with Automatic Feedback and Search
by: Shypula, Alexander, et al.
Published: (2026)

Conformal Structured Prediction
by: Zhang, Botong, et al.
Published: (2024)

Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction
by: Ramalingam, Ramya, et al.
Published: (2024)

LLM Program Optimization via Retrieval Augmented Search
by: Anupam, Sagnik, et al.
Published: (2025)