RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios

20 August 2023

Papers citing "RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios"

7 / 7 papers shown

Title
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
Labeling Out-of-View Objects in Immersive Analytics to Support Situated Visual Searching Tica Lin Yalong Yang Johanna Beyer Hanspeter Pfister 22 24 0 06 Dec 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 40 142 0 08 Feb 2021
Table2Charts: Recommending Charts by Learning Shared Table Representations Mengyu Zhou Qingtao Li Xinyi He Yuejiang Li Yibo Liu Wei Ji Shi Han Yining Chen Daxin Jiang Dongmei Zhang LMTD 52 34 0 24 Aug 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 132 455 0 10 Mar 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 143 1,624 0 02 Feb 2020
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 173 582 0 26 Sep 2016