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728 result(s) for “Reinforcement Learning” Page 2 of 15
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Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone
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Active Automotive Augmented Reality Displays Using Reinforcement Learning
Ju-Hyeok Ryu, Chan Kim, Seong-Woo Kim
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Chance-Aware Lane Change with High-Level Model Predictive Control through Curriculum Reinforcement Learning
Yubin Wang, Yulin Li, Zengqi Peng, Hakim Ghazzai, Jun Ma
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Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
Xi Lin, Yewei Huang, Fanfei Chen, Brendan Englot
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Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
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REFORMA: Robust REinFORceMent Learning Via Adaptive Adversary for Drones Flying under Disturbances
Hao-Lun Hsu, Haocheng Meng, Shaocheng Luo, Juncheng Dong, Vahid Tarokh, Miroslav Pajic
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Barrier Functions Inspired Reward Shaping for Reinforcement Learning
Nilaksh Nilaksh, Abhishek Ranjan, Shreenabh Agrawal, Aayush Jain, Pushpak Jagtap, Shishir Kolathaya
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Surgical Gym: A High-Performance GPU-Based Platform for Reinforcement Learning with Surgical Robots
Samuel Schmidgall, Axel Krieger, Jason Eshraghian
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Uncertainty-Aware Reinforcement Learning for Autonomous Driving with Multimodal Digital Driver Guidance
Wenhui Huang, Zitong Shan, Shanhe Lou, Chen Lv
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Decision Making for Human-In-The-Loop Robotic Agents Via Uncertainty-Aware Reinforcement Learning
Siddharth Singi, Zhanpeng He, Alvin Pan, Sandipkumar Patel, Gunnar Sigurdsson, Robinson Piramuthu, Shuran Song, Matei Ciocarlie
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Symmetry-Aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist
Nguyen Hai, Tadashi Kozuno, Cristian Camilo Beltran-Hernandez, Masashi Hamaya
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Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning
Xiao Ma, Wu-Jun Li
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Improving Offline Reinforcement Learning with Inaccurate Simulators
Yiwen Hou, Haoyuan Sun, Jinming Ma, Feng Wu
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Reinforcement Learning for Reduced-Order Models of Legged Robots
Yu-Ming Chen, Hien Bui, Michael Posa
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Adaptive Motion Scaling for Robot-Assisted Microsurgery Based on Hybrid Offline Reinforcement Learning and Damping Control
Peiyang Jiang, Wei Li, Yifan Li, Dandan Zhang
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Unknown Object Retrieval in Confined Space through Reinforcement Learning with Tactile Exploration
Xinyuan Zhao, Wenyu Liang, Xiaoshi Zhang, Chee Meng Chew, Yan Wu
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Learning Active Manipulation to Target Shapes with Model-Free, Long-Horizon Deep Reinforcement Learning
Matias Sivertsvik, Kirill Sumskiy, Ekrem Misimi
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MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity
Hojun Chung, Jeongwoo Oh, Jae Seok Heo, Gunmin Lee, Songhwai Oh
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Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
Chenyang Cao, Zichen Yan, Renhao Lu, Junbo Tan, xueqian WANG
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Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector
Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara
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Maximising Coefficiency of Human-Robot Handovers through Reinforcement Learning
Marta Lagomarsino, Marta Lorenzini, Merryn Dale Constable, Elena De Momi, Cristina Becchio, Arash Ajoudani
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POLITE: Preferences Combined with Highlights in Reinforcement Learning
Simon Holk, Daniel Marta, Iolanda Leite
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6-DoF Closed-Loop Grasping with Reinforcement Learning
Sverre Herland, Kerstin Bach, Ekrem Misimi
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Meta-Reinforcement Learning Based Cooperative Surface Inspection of 3D Uncertain Structures Using Multi-Robot Systems
Junfeng Chen, Yuan Gao, Junjie Hu, Fuqin Deng, Tin Lun Lam
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Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
xiao zhang, Hai Zhang, Hongtu Zhou, Chang Huang, Di Zhang, Chen Ye, Junqiao Zhao
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Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning
Lev Grossman, Brian Plancher
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VAPOR: Legged Robot Navigation in Unstructured Outdoor Environments Using Offline Reinforcement Learning
Kasun Weerakoon Kulathun Mudiyanselage, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Dinesh Manocha
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When to Replan? an Adaptive Replanning Strategy for Autonomous Navigation Using Deep Reinforcement Learning
Kohei Honda, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
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Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots
Simon Chamorro, Victor Klemm, Miguel de la Iglesia Valls, CHRIS PAL, Roland Siegwart
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Sim-To-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing
Max Yang, Yijiong Lin, Alex Church, John Lloyd, Dandan Zhang, David A. W. Barton, Nathan Lepora
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Collision Avoidance and Navigation for a Quadrotor Swarm Using End-To-End Deep Reinforcement Learning
Zhehui Huang, Zhaojing Yang, Rahul Krupani, Baskın Şenbaşlar, Sumeet Batra, Gaurav Sukhatme
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Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, CHEN TANG, Wei Zhan
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Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn
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Phasic Diversity Optimization for Population-Based Reinforcement Learning
Jingcheng Jiang, Haiyin Piao, Yu Fu, Yihang Hao, Chuanlu Jiang, Ziqi Wei, Xin Yang
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Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations
Kefei Wu, Xuming He, Yang Wang, Xiaopei Liu
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Sim2Real Transfer of Reinforcement Learning for Concentric Tube Robots
Keshav Kannan Iyengar, S.M.Hadi Sadati, Christos Bergeles, Sarah Spurgeon, Danail Stoyanov
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Controlling FES of Arm Movements Using Physics-Informed Reinforcement Learning Via Co-Kriging Adjustment
Nat Wannawas, Clara Diaz-Pintado, Jyotindra Narayan, Aldo Faisal
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Bi-Touch: Bimanual Tactile Manipulation with Sim-To-Real Deep Reinforcement Learning
Yijiong Lin, Alex Church, Max Yang, Haoran Li, John Lloyd, Dandan Zhang, Nathan Lepora
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Safety Optimized Reinforcement Learning Via Multi-Objective Policy Optimization
Homayoun Honari, Mehran Ghafarian Tamizi, Homayoun Najjaran
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Scaling Team Coordination on Graphs with Reinforcement Learning
Manshi Limbu, Zechen Hu, Xuan Wang, Daigo Shishika, Xuesu Xiao
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Enhancing Task Performance of Learned Simplified Models Via Reinforcement Learning
Hien Bui, Michael Posa
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Your Room Is Not Private: Gradient Inversion Attack on Reinforcement Learning
Miao Li, Wenhao Ding, Ding Zhao
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Goal-Conditioned Reinforcement Learning with Disentanglement-Based Reachability Planning
Zhifeng Qian, YOU MINGYU, Zhou Hongjun, Xuanhui Xu, Bin He
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Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road Driving
Sean J. Wang, Honghao Zhu, Aaron M. Johnson
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Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning
Mingsheng Yin, Tao Li, Haozhe Lei, Yaqi Hu, Sundeep Rangan, Quanyan Zhu
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Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning
Zifan Xu, Amir Hossain Raj, Xuesu Xiao, Peter Stone
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Dynamic Coalition Formation and Routing for Multirobot Task Allocation Via Reinforcement Learning
Weiheng Dai, Aditya Bidwai, Guillaume Adrien Sartoretti
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PathRL: An End-To-End Path Generation Method for Collision Avoidance Via Deep Reinforcement Learning
Wenhao Yu, Jie Peng, Quecheng Qiu, Hanyu Wang, Lu Zhang, Jianmin Ji
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SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Herman Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine
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Approximate Multiagent Reinforcement Learning for On-Demand Urban Mobility Problem on a Large Map
Daniel Garces, Sushmita Bhattacharya, Dimitri Bertsekas, Stephanie Gil
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