IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

594 result(s) for “Reinforcement Learning” Page 2 of 12

	Title & Authors	Actions
	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	View PDF
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	TraKDis: A Transformer-Based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation Wei Chen, Nicolas Rojas	View PDF
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	FNPG-NH: A Reinforcement Learning Framework for Flexible Needle Path Generation with Nonholonomic Constraints Shah, Mukund,Patel, Niravkumar	View PDF
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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	View PDF
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	Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge Sang-Hyun Lee, Seung-Woo Seo	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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	Waypoint-Based Reinforcement Learning for Robot Manipulation Tasks Shaunak Mehta, Soheil Habibian, Dylan Losey	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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	Synergistic Reinforcement and Imitation Learning for Vision-Driven Autonomous Flight of UAV Along River Zihan Wang, Jianwen Li, Nina Mahmoudian	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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	Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning Suzan Ece Ada, Erhan Oztop, Emre Ugur	View PDF
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	Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning Suzan Ece Ada, Erhan Oztop, Emre Ugur	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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	Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression Fernando Acero, Zhibin (Alex) Li	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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	Towards Accurate and Robust Dynamics and Reward Modeling for Model-Based Offline Inverse Reinforcement Learning Gengyu Zhang, Yan Yan	View PDF
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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	View PDF
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	Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning Pengqin Wang, Meixin Zhu, Shaojie Shen	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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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	View PDF
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	Adaptive Curriculum Learning with Successor Features for Imbalanced Compositional Reward Functions Laszlo Szoke, Shahaf Shperberg, Jarrett Holtz, Alessandro Gabriele Allievi	View PDF
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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	View PDF
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	Communication-Efficient Multi-Robot Exploration Using Distributed Coverage-Biased Q-Learning Ehsan Latif, Ramviyas Parasuraman	View PDF
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	Model-Based Policy Optimization Using Symbolic World Model Andrey Gorodetsky, Konstantin Mironov, Aleksandr Panov	View PDF
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	Learning Agile Locomotion on Risky Terrains Chong Zhang, Nikita Rudin, David Hoeller, Marco Hutter	View PDF
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	FF-SRL: High Performance GPU-Based Surgical Simulation for Robot Learning Diego Dall'Alba, Michał Naskręt, Sabina Kamińska, Przemyslaw Korzeniowski	View PDF
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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	View PDF
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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	View PDF
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	Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving Shengchao Yan, Lukas Maximilian König, Wolfram Burgard	View PDF
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