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594 result(s) for “Reinforcement Learning” Page 2 of 12
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Scheduling of Robotic Cellular Manufacturing Systems with Timed Petri Nets and Reinforcement Learning
ZhuTao Yao, Bo Huang, Jianyong Lv, Xiaoyu Lu, MeiJi Cui, ShaoHua Yu
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TraKDis: A Transformer-Based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation
Wei Chen, Nicolas Rojas
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FNPG-NH: A Reinforcement Learning Framework for Flexible Needle Path Generation with Nonholonomic Constraints
Shah, Mukund,Patel, Niravkumar
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Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning
Hsu-Shen Liu, So Kuroki, Tadashi Kozuno, Wei-Fang Sun, Chun-Yi Lee
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Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge
Sang-Hyun Lee, Seung-Woo Seo
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Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
Pu Feng, Junkang Liang, Size Wang, Xin Yu, Xin Ji, Yiting Chen, kui zhang, Rongye Shi, Wenjun Wu
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Automatic Design of Robot Swarms That Perform Composite Missions: An Approach Based on Inverse Reinforcement Learning
Jeanne Szpirer, David Garzón Ramos, Mauro Birattari
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An Attention-Aware Deep Reinforcement Learning Framework for UAV-UGV Collaborative Route Planning
Mohammad Safwan Mondal, Subramanian Ramasamy, James Humann, Jim James, Dotterweich, Jean-Paul Reddinger, Marshal Childers, Pranav Bhounsule
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Waypoint-Based Reinforcement Learning for Robot Manipulation Tasks
Shaunak Mehta, Soheil Habibian, Dylan Losey
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Evaluating a Movable Palm in Caging Inspired Grasping Using a Reinforcement Learning-Based Approach
Luke Jonathan Beddow, Helge Arne Wurdemann, Dimitrios Kanoulas
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EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic under Real-World Perturbations Via Reinforcement Learning
Bibek Poudel, Weizi Li, Kevin Heaslip
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Mitigating Adversarial Perturbations for Deep Reinforcement Learning Via Vector Quantization
Tung Luu, Thanh Nguyen, Joshua Tian Jin Tee, Sungwoong Kim, Chang D. Yoo
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Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
Lin, Haohong,Ding, Wenhao,Liu, Zuxin,Niu, Yaru,Zhu, Jiacheng,Niu, Yuming,Zhao, Ding
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GDM-Net: Gas Distribution Mapping with a Mobile Robot Using Deep Reinforcement Learning and Gaussian Process Regression
Iliya Kulbaka, Ayan Dutta, Patrick Kreidl, Ladislau Bölöni, Swapnoneel Roy
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Transformer-Based Multi-Agent Reinforcement Learning for Generalization of Heterogeneous Multi-Robot Cooperation
Yuxin Cai, Xiangkun He, Hongliang Guo, Wei-Yun Yau, Chen Lv
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Synergistic Reinforcement and Imitation Learning for Vision-Driven Autonomous Flight of UAV Along River
Zihan Wang, Jianwen Li, Nina Mahmoudian
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The Power of Input: Benchmarking Zero-Shot Sim-To-Real Transfer of Reinforcement Learning Control Policies for Quadrotor Control
Alberto Dionigi, Gabriele Costante, Giuseppe Loianno
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A Two-Stage Reinforcement Learning Approach for Robot Navigation in Long-Range Indoor Dense Crowd Environments
Xinghui Jing, Xin Xiong, Fuhao Li, Tao Zhang, Long Zeng
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Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning
Daniel Flögel, Lars Fischer, Thomas Rudolf, Tobias Schürmann, Sören Hohmann
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Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning
Suzan Ece Ada, Erhan Oztop, Emre Ugur
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Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning
Suzan Ece Ada, Erhan Oztop, Emre Ugur
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Belief-Aided Navigation Using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots
Jinyeob Kim, KWAK DAEWON, Hyunwoo RIM, Donghan Kim
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Adaptive Stochastic Nonlinear Model Predictive Control with Look-Ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control
Baha Zarrouki, Chenyang Wang, Johannes Betz
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Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
Aleksandar Krnjaic, Raul Dacian Steleac, Jonathan David Thomas, Georgios Papoudakis, Lukas Schäfer, Andrew To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter Börsting, Stefano V. Albrecht
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Integrating Model-Based Footstep Planning with Model-Free Reinforcement Learning for Dynamic Legged Locomotion
Ho Jae Lee, Seungwoo Hong, Sangbae Kim
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SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning
Navid Mohammad Imran, Myounggyu Won
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BronchoCopilot: Towards Autonomous Robotic Bronchoscopy Via Multimodal Reinforcement Learning
Jianbo Zhao, Hao Chen, Qingyao Tian, Jian Chen, Bingyu Yang, Zihui Zhang, Hongbin Liu
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Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
Fernando Acero, Zhibin (Alex) Li
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D-MARL: A Dynamic Communication-Based Action Space Enhancement for Multi Agent Reinforcement Learning Exploration of Large Scale Unknown Environments
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
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Collaboration Strategies for Two Heterogeneous Pursuers in A Pursuit-Evasion Game Using Deep Reinforcement Learning
Zhanping Zhong, Zhuoning Dong, Xiaoming Duan, Jianping He
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X-Neuron: Interpreting, Locating and Editing of Neurons in Reinforcement Learning Policy
Yuhong Ge, Xun Zhao, Jiangmiao Pang, Mingguo Zhao, Dahua Lin
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Towards Accurate and Robust Dynamics and Reward Modeling for Model-Based Offline Inverse Reinforcement Learning
Gengyu Zhang, Yan Yan
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Towards a Surgeon-In-The-Loop Ophthalmic Robotic Apprentice Using Reinforcement and Imitation Learning
Amr Gomaa, Bilal Mahdy, Niko Kleer, Antonio Krüger
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Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning
Pengqin Wang, Meixin Zhu, Shaojie Shen
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Multi-Agent Deep Reinforcement Learning for Persistent Monitoring with Sensing, Communication, and Localization Constraints
Manav Mishra, Prithvi Poddar, RAJAT AGRAWAL, Jingxi Chen, Pratap Tokekar, Sujit PB
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Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning
Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang
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Reinforcement Learning Control for Autonomous Hydraulic Material Handling Machines with Underactuated Tools
Filippo Alberto Spinelli, Pascal Arturo Egli, Julian Nubert, Fang Nan, Thilo Bleumer, Patrick Goegler, Stephan Brockes, Ferdinand Hofmann, Marco Hutter
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Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning Via MetaGradient-Based Hyperparameter Tuning
Homayoun Honari, Amir Mehdi Soufi Enayati, Mehran Ghafarian Tamizi, Homayoun Najjaran
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Decentralized Multi-Robot Navigation Coupled with Spatial-Temporal RetNet Based on Deep Reinforcement Learning
Lin Chen, Yaonan Wang, Zhiqiang Miao, Mingtao Feng, Yuanzhe Wang, Yang Mo, zhen zhou, Hesheng Wang, Danwei Wang
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An End-To-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems
Song Ma, Jingqing Ruan, Yali Du, Richard Bucknall, Yuanchang Liu
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Control-Oriented Reinforcement Active Modeling Scheme for Hysteresis Compensation of Flexible Endoscopic Robot
Fan Ren, Xiangyu Wang, Yongchun Fang, Yanding Qin, Hongpeng Wang, Ningbo Yu, Jianda Han
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Adaptive Curriculum Learning with Successor Features for Imbalanced Compositional Reward Functions
Laszlo Szoke, Shahaf Shperberg, Jarrett Holtz, Alessandro Gabriele Allievi
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MQE: Unleashing the Power of Interaction with Multi-Agent Quadruped Environment
Ziyan Xiong, bo chen, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Yang Gao
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Communication-Efficient Multi-Robot Exploration Using Distributed Coverage-Biased Q-Learning
Ehsan Latif, Ramviyas Parasuraman
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Model-Based Policy Optimization Using Symbolic World Model
Andrey Gorodetsky, Konstantin Mironov, Aleksandr Panov
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Learning Agile Locomotion on Risky Terrains
Chong Zhang, Nikita Rudin, David Hoeller, Marco Hutter
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FF-SRL: High Performance GPU-Based Surgical Simulation for Robot Learning
Diego Dall'Alba, Michał Naskręt, Sabina Kamińska, Przemyslaw Korzeniowski
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BaSeNet: A Learning-Based Mobile Manipulator Base Pose Sequence Planning for Pickup Tasks
Lakshadeep Naik, Sinan Kalkan, Sune Lundø Sørensen, Kjærgaard Mikkel, Norbert Krüger
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A Novel Variable Step-Size Path Planning Framework with Step Consistent Markov Decision Process for Large Scale UAV Swarm
Dan Xu, Yunxiao Guo, Han Long, Chang Wang
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Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving
Shengchao Yan, Lukas Maximilian König, Wolfram Burgard
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