Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,949)
Clear ✕Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization
Homayoun Honari, Mehran Ghafarian Tamizi, Homayoun Najjaran
2024
Reinforcement Learning with Elastic Time Steps
Dong Wang, Giovanni Beltrame
2024
Transformable Gaussian Reward Function for Socially-Aware Navigation with Deep Reinforcement Learning
Jinyeob Kim, Sumin Kang, Sungwoo Yang +3 more
2024
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
Haoran He, Chenjia Bai, Ling Pan +3 more
2024
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay
Catherine Weaver, Chen Tang, Ce Hao +3 more
2024
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions
Jiayu Chen, Bhargav Ganguly, Yang Xu +3 more
2024
Learning Dual-arm Object Rearrangement for Cartesian Robots
Shishun Zhang, Qijin She, Wenhao Li +4 more
2024
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
Huy Hoang, Tien Mai, Pradeep Varakantham
2024
Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields
Stephen Hausler, David Hall, Sutharsan Mahendren +1 more
2024
Single-Reset Divide & Conquer Imitation Learning
Alexandre Chenu, Olivier Serris, Olivier Sigaud +1 more
2024
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
Michael Lanier, Ying Xu, Nathan Jacobs +2 more
2024
LDTrack: Dynamic People Tracking by Service Robots using Diffusion Models
Angus Fung, Beno Benhabib, Goldie Nejat
2024
Enhancing Robustness of Indoor Robotic Navigation with Free-Space Segmentation Models Against Adversarial Attacks
Qiyuan An, Christos Sevastopoulos, Fillia Makedon
2024
3D Gaussian as a New Era: A Survey
Ben Fei, Jingyi Xu, Rui Zhang +3 more
2024
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks
Annie Wong, Jacob de Nobel, Thomas Bäck +2 more
2024
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang +9 more
2024
Knowledge-Centric Metacognitive Learning
Arun Kumar, Paul Schrater
2024
Language-Based Augmentation to Address Shortcut Learning in Object Goal Navigation
Dennis Hoftijzer, Gertjan Burghouts, Luuk Spreeuwers
2024
Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning
Apoorva Vashisth, Julius Rückin, Federico Magistri +2 more
2024
A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents
Haoyi Niu, Jianming Hu, Guyue Zhou +1 more
2024
TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments
Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy +3 more
2024
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
Maxime Toquebiau, Nicolas Bredeche, Faïz Benamar +1 more
2024
An Architecture for Unattended Containerized (Deep) Reinforcement Learning with Webots
Tobias Haubold, Petra Linke
2024
Belief Scene Graphs: Expanding Partial Scenes with Objects through Computation of Expectation
Mario A. V. Saucedo, Akash Patel, Akshit Saradagi +2 more
2024