Papers
959 papers found
A Dual Representation Framework for Robot Learning with Human Guidance
Ruohan Zhang, Dhruva Bansal, Yilun Hao et al.
ARC - Actor Residual Critic for Adversarial Imitation Learning
Ankur Deka, Changliu Liu, Katia P. Sycara
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming
Krishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox et al.
Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments
Matthew Budd, Paul Duckworth, Nick Hawes et al.
BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation
Chengshu Li, Ruohan Zhang, Josiah Wong et al.
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment
Zeyi Liu, Zhenjia Xu, Shuran Song
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation
Jingkang Wang, Sivabalan Manivasagam, Yun Chen et al.
CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning
Yuhong Cao, Yizhuo Wang, Apoorva Vashisth et al.
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation
Wenhao Ding, Haohong Lin, Bo Li et al.
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion
Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar et al.
COACH: Cooperative Robot Teaching
Cunjun Yu, Yiqing Xu, Linfeng Li et al.
CoBEVT: Cooperative Bird’s Eye View Semantic Segmentation with Sparse Transformers
Runsheng Xu, Zhengzhong Tu, Hao Xiang et al.
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
Renos Zabounidis, Joseph Campbell, Simon Stepputtis et al.
Contrastive Decision Transformers
Sachin G. Konan, Esmaeil Seraj, Matthew Gombolay
Cross-Domain Transfer via Semantic Skill Imitation
Karl Pertsch, Ruta Desai, Vikash Kumar et al.
Data-Efficient Model Learning for Control with Jacobian-Regularized Dynamic-Mode Decomposition
Brian Edward Jackson, Jeong Hun Lee, Kevin Tracy et al.
DayDreamer: World Models for Physical Robot Learning
Philipp Wu, Alejandro Escontrela, Danijar Hafner et al.
Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach
Oguzhan Akcin, Po-han Li, Shubhankar Agarwal et al.
Deep Black-Box Reinforcement Learning with Movement Primitives
Fabian Otto, Onur Celik, Hongyi Zhou et al.
Deep Projective Rotation Estimation through Relative Supervision
Brian Okorn, Chuer Pan, Martial Hebert et al.
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Zipeng Fu, Xuxin Cheng, Deepak Pathak
Detecting Incorrect Visual Demonstrations for Improved Policy Learning
Mostafa Hussein, Momotaz Begum
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation
Yuzhe Qin, Binghao Huang, Zhao-Heng Yin et al.
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
Peter Karkus, Boris Ivanovic, Shie Mannor et al.
Discriminator-Guided Model-Based Offline Imitation Learning
Wenjia Zhang, Haoran Xu, Haoyi Niu et al.