ICRA 2023

1655 papers · 0 AI summaries · 2023

AI summary only

152 result(s) for “scaffold reinforcement” Page 1 of 4

	Title & Authors	Actions
	A Novel Scaffold Reinforced Actuator with Tunable Attitude Ability for Grasping Jiang, Pei,Luo, Ji,Li, Jiaxing,Chen, Michael Z. Q.,Chen, Yonghua,Yang, Yang,Chen, Rui	View PDF
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	Efficient Learning of High Level Plans from Play NÃoria Armengol UrpÃ, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros	View PDF
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	Reinforcement Learning for Laser Welding Speed Control Minimizing Bead Width Error Toshimitsu Kaneko, Gaku Minamoto, Yusuke Hirose, Tetsuo Sakai	View PDF
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	Guided Reinforcement Learning � A Review and Evaluation for Efficient and Effective Real-World Robotics Julian EÃer, Nicolas Bach, Christian Jestel, Oliver Urbann, SÃ¶ren Kerner	View PDF
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	Reinforcement Learning-Based Optimal Multiple Waypoint Navigation Christos Vlachos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos	View PDF
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	Tumbling Robot Control Using Reinforcement Learning Andrew Schwartzwald, Matthew Tlachac, Luis Guzman, Athanasios Bacharis, Nikos Papanikolopoulos	View PDF
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	A Continuous Off-Policy Reinforcement Learning Scheme for Optimal Motion Planning in Simply-Connected Workspaces Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos	View PDF
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	Show Me What You Want: Inverse Reinforcement Learning to Automatically Design Robot Swarms by Demonstration Ilyes Gharbi, Jonas Kuckling, David Garzón Ramos, Mauro Birattari	View PDF
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	Security-Aware Reinforcement Learning under Linear Temporal Logic Specifications Bohan Cui, Keyi Zhu, Shaoyuan Li, Xiang Yin	View PDF
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	Developing Cooperative Policies for Multi-Stage Reinforcement Learning Tasks Jordan Erskine, Christopher Lehnert	View PDF
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	GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li	View PDF
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	Demonstration-Bootstrapped Autonomous Practicing Via Multi-Task Reinforcement Learning Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman	View PDF
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	SoLo T-DIRL: Socially-Aware Dynamic Local Planner Based on Trajectory-Ranked Deep Inverse Reinforcement Learning Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria, Maani Ghaffari	View PDF
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	Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara	View PDF
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	Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber	View PDF
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	Automating Reinforcement Learning with Example-Based Resets Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim	View PDF
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	Reinforcement Learning for Safe Robot Control Using Control Lyapunov Barrier Functions Desong Du, Shaohang Han, Naiming Qi, Haitham Bou Ammar, Jun Wang, Wei Pan	View PDF
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	Improving the Robustness of Reinforcement Learning Policies with L1 Adaptive Control Yikun Cheng, Pan Zhao, Fanxin Wang, Daniel Block, NAIRA HOVAKIMYAN	View PDF
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	Control of Rough Terrain Vehicles Using Deep Reinforcement Learning Viktor Wiberg, Erik Wallin, Tomas Nordfjell, Martin Servin	View PDF
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	Reinforcement Learning Control of a Reconfigurable Planar Cable Driven Parallel Manipulator Adhiti Raman Thothathri, Ameya Salvi, Matthias Schmid, Venkat Krovi	View PDF
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	DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung	View PDF
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	Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka	View PDF
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	Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations Maximilian Schier, Christoph Reinders, Bodo Rosenhahn	View PDF
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	Variable Admittance Interaction Control of UAVs Via Deep Reinforcement Learning Yuting Feng, Chuanbeibei Shi, Jianrui Du, Yushu Yu, Fuchun Sun, Yixu Song	View PDF
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	Automatic Cell Rotation Method Based on Deep Reinforcement Learning Huiying Gong, Yujie Zhang, Yaowei Liu, Qili Zhao, Xin Zhao, Mingzhu Sun	View PDF
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	Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control Jiayu Chen, Tian Lan, Vaneet Aggarwal	View PDF
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	Inverse Reinforcement Learning Framework for Transferring Task Sequencing Policies from Humans to Robots in Manufacturing Applications Omey Mohan Manyar, Zachary McNulty, Stefanos Nikolaidis, Satyandra K. Gupta	View PDF
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	Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems Alexander Ororbia, Ankur Mali	View PDF
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	Collision Avoidance among Dense Heterogeneous Agents Using Deep Reinforcement Learning Kai Zhu, Bin Li, Wen ming Zhe, Tao Zhang	View PDF
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	Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning Cheng Liu, Erik-Jan van Kampen, Guido de Croon	View PDF
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	Explainable Action Advising for Multi-Agent Reinforcement Learning Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia Sycara	View PDF
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	Sim-And-Real Reinforcement Learning for Manipulation: A Consensus-Based Approach Wenxing Liu, Hanlin Niu, Wei Pan, Guido Herrmann, Joaquin Carrasco	View PDF
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	Deep Reinforcement Learning for Decentralized Multi-Robot Exploration with Macro Actions Aaron Hao Tan, Federico Pizarro Bejarano, Yuhan Zhu, Richard Ren, Goldie Nejat	View PDF
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	Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks David Patricio Valencia Redrovan, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas Liarokapis, Bruce MacDonald, Henry Williams	View PDF
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	RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha	View PDF
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	Real World Offline Reinforcement Learning with Realistic Data Source Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar	View PDF
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	Conflict-Constrained Multi-Agent Reinforcement Learning Method for Parking Trajectory Planning Siyuan Chen, Meiling Wang, Yi Yang, Wenjie Song	View PDF
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	Guiding Reinforcement Learning with Shared Control Templates Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp	View PDF
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	Meta Reinforcement Learning for Optimal Design of Legged Robots Alvaro Belmonte-Baeza, joonho lee, Giorgio Valsecchi, Marco Hutter	View PDF
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	Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka, Tim Welschehold, Joschka Boedecker, Wolfram Burgard	View PDF
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	Sample-Efficient Goal-Conditioned Reinforcement Learning Via Predictive Information Bottleneck for Goal Representation Learning qiming zou, Einoshin Suzuki	View PDF
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	Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki	View PDF
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	Meta-Reinforcement Learning Via Language Instructions Zhenshan Bing, Alexander Koch, Xiangtong Yao, Kai Huang, Alois Knoll	View PDF
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	Adaptive and Explainable Deployment of Navigation Skills Via Hierarchical Deep Reinforcement Learning Kyowoon Lee, Seongun Kim, Jaesik Choi	View PDF
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	Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning Abraham George, Alison Bartsch, Amir Barati Farimani	View PDF
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	Aligning Human Preferences with Baseline Objectives in Reinforcement Learning Daniel Marta, Simon Holk, Christian Pek, Jana Tumova, Iolanda Leite	View PDF
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	Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot Tao Huang, Kai Chen, Bin LI, Yunhui Liu, Qi Dou	View PDF
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	Monocular Reactive Collision Avoidance for MAV Teleoperation with Deep Reinforcement Learning Raffaele Brilli, Marco Legittimo, Francesco Crocetti, Mirko Leomanni, Mario Luca Fravolini, Gabriele Costante	View PDF
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	Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms Resul Dagdanov, Halil Durmuş, Nazim Kemal Ure	View PDF
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	Robotic Table Wiping Via Reinforcement Learning and Whole-Body Trajectory Optimization Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez Arenas	View PDF
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