A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations

29 November 2022

Papers citing "A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations"

5 / 5 papers shown

Title
P3Nav: A Unified Framework for Embodied Navigation Integrating Perception, Planning, and Prediction Yufeng Zhong Chengjian Feng Feng Yan Fanfan Liu Liming Zheng Lin Ma 49 0 0 24 Mar 2025
MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-object Demand-driven Navigation Hongcheng Wang Peiqi Liu Wenzhe Cai Mingdong Wu Zhengyu Qian Hao Dong 21 0 0 04 Oct 2024
Modeling Dynamic Environments with Scene Graph Memory Andrey Kurenkov Michael Lingelbach Tanmay Agarwal Emily Jin Chengshu Li Ruohan Zhang Li Fei-Fei Jiajun Wu Silvio Savarese Roberto Martín-Martín 26 11 0 27 May 2023
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation Xuesu Xiao Tingnan Zhang K. Choromanski Edward J. Lee Anthony G. Francis ... Leila Takayama Roy Frostig Jie Tan Carolina Parada Vikas Sindhwani 65 54 0 22 Sep 2022
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu Tsung-Yi Lin Weicheng Kuo Yin Cui VLM ObjD 223 898 0 28 Apr 2021