ICRA 2023

1655 papers · 0 AI summaries · 2023

AI summary only

501 result(s) for “Reinforcement Learning” Page 1 of 11

	Title & Authors	Actions
	Reinforcement Learning for Laser Welding Speed Control Minimizing Bead Width Error Toshimitsu Kaneko, Gaku Minamoto, Yusuke Hirose, Tetsuo Sakai	View PDF
Loading…
	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
Loading…
	Reinforcement Learning-Based Optimal Multiple Waypoint Navigation Christos Vlachos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos	View PDF
Loading…
	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
Loading…
	DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung	View PDF
Loading…
	Tumbling Robot Control Using Reinforcement Learning Andrew Schwartzwald, Matthew Tlachac, Luis Guzman, Athanasios Bacharis, Nikos Papanikolopoulos	View PDF
Loading…
	Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber	View PDF
Loading…
	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
Loading…
	Security-Aware Reinforcement Learning under Linear Temporal Logic Specifications Bohan Cui, Keyi Zhu, Shaoyuan Li, Xiang Yin	View PDF
Loading…
	Developing Cooperative Policies for Multi-Stage Reinforcement Learning Tasks Jordan Erskine, Christopher Lehnert	View PDF
Loading…
	Demonstration-Bootstrapped Autonomous Practicing Via Multi-Task Reinforcement Learning Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman	View PDF
Loading…
	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
Loading…
	A Continuous Off-Policy Reinforcement Learning Scheme for Optimal Motion Planning in Simply-Connected Workspaces Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos	View PDF
Loading…
	Automating Reinforcement Learning with Example-Based Resets Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim	View PDF
Loading…
	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
Loading…
	Sample-Efficient Goal-Conditioned Reinforcement Learning Via Predictive Information Bottleneck for Goal Representation Learning qiming zou, Einoshin Suzuki	View PDF
Loading…
	Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara	View PDF
Loading…
	Improving the Robustness of Reinforcement Learning Policies with L1 Adaptive Control Yikun Cheng, Pan Zhao, Fanxin Wang, Daniel Block, NAIRA HOVAKIMYAN	View PDF
Loading…
	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
Loading…
	Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control Jiayu Chen, Tian Lan, Vaneet Aggarwal	View PDF
Loading…
	Real World Offline Reinforcement Learning with Realistic Data Source Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar	View PDF
Loading…
	Reinforcement Learning Control of a Reconfigurable Planar Cable Driven Parallel Manipulator Adhiti Raman Thothathri, Ameya Salvi, Matthias Schmid, Venkat Krovi	View PDF
Loading…
	Guiding Reinforcement Learning with Shared Control Templates Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp	View PDF
Loading…
	Control of Rough Terrain Vehicles Using Deep Reinforcement Learning Viktor Wiberg, Erik Wallin, Tomas Nordfjell, Martin Servin	View PDF
Loading…
	Automatic Cell Rotation Method Based on Deep Reinforcement Learning Huiying Gong, Yujie Zhang, Yaowei Liu, Qili Zhao, Xin Zhao, Mingzhu Sun	View PDF
Loading…
	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
Loading…
	Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations Maximilian Schier, Christoph Reinders, Bodo Rosenhahn	View PDF
Loading…
	Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems Alexander Ororbia, Ankur Mali	View PDF
Loading…
	Variable Admittance Interaction Control of UAVs Via Deep Reinforcement Learning Yuting Feng, Chuanbeibei Shi, Jianrui Du, Yushu Yu, Fuchun Sun, Yixu Song	View PDF
Loading…
	Learning Risk-Aware Costmaps Via Inverse Reinforcement Learning for Off-Road Navigation Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian Scherer	View PDF
Loading…
	Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning Abraham George, Alison Bartsch, Amir Barati Farimani	View PDF
Loading…
	Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning Cheng Liu, Erik-Jan van Kampen, Guido de Croon	View PDF
Loading…
	Explainable Action Advising for Multi-Agent Reinforcement Learning Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia Sycara	View PDF
Loading…
	Meta-Reinforcement Learning Via Language Instructions Zhenshan Bing, Alexander Koch, Xiangtong Yao, Kai Huang, Alois Knoll	View PDF
Loading…
	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
Loading…
	Collision Avoidance among Dense Heterogeneous Agents Using Deep Reinforcement Learning Kai Zhu, Bin Li, Wen ming Zhe, Tao Zhang	View PDF
Loading…
	Conflict-Constrained Multi-Agent Reinforcement Learning Method for Parking Trajectory Planning Siyuan Chen, Meiling Wang, Yi Yang, Wenjie Song	View PDF
Loading…
	Sim-And-Real Reinforcement Learning for Manipulation: A Consensus-Based Approach Wenxing Liu, Hanlin Niu, Wei Pan, Guido Herrmann, Joaquin Carrasco	View PDF
Loading…
	Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka, Tim Welschehold, Joschka Boedecker, Wolfram Burgard	View PDF
Loading…
	Adaptive and Explainable Deployment of Navigation Skills Via Hierarchical Deep Reinforcement Learning Kyowoon Lee, Seongun Kim, Jaesik Choi	View PDF
Loading…
	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
Loading…
	RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha	View PDF
Loading…
	Meta Reinforcement Learning for Optimal Design of Legged Robots Alvaro Belmonte-Baeza, joonho lee, Giorgio Valsecchi, Marco Hutter	View PDF
Loading…
	Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms Resul Dagdanov, Halil Durmuş, Nazim Kemal Ure	View PDF
Loading…
	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
Loading…
	Multifingered Grasping Based on Multimodal Reinforcement Learning Hongzhuo Liang, Lin Cong, Norman Hendrich, Shuang Li, Fuchun Sun, Jianwei Zhang	View PDF
Loading…
	DriveIRL: Drive in Real Life with Inverse Reinforcement Learning Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Momchil Tomov, Robert Beaudoin, Sang Uk Lee, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suárez-Ruiz, Bo Yang, Sammy Omari, Eric Wolff	View PDF
Loading…
	Aligning Human Preferences with Baseline Objectives in Reinforcement Learning Daniel Marta, Simon Holk, Christian Pek, Jana Tumova, Iolanda Leite	View PDF
Loading…
	Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jacob Varley	View PDF
Loading…
	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
Loading…