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967 result(s) for “Reinforcement Learning” Page 1 of 20
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A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving AI summary
Timur Anvar, Jeffrey Chen, Yuyan Wang, Rohan Chandra
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A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7 AI summary
Hojoon Lee, Takuma Seno, Jun Jet Tai, Kaushik Subramanian, Kenta Kawamoto, Peter Stone, Peter Wurman
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A Differential Dynamic Programming Framework for Inverse Reinforcement Learning AI summary
Kun Cao, Xinhang Xu, Wanxin Jin, Karl H. Johansson, Lihua Xie
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ARMOR: Attack-Resilient Reinforcement Learning Control for UAVs AI summary
Pritam Dash, Ethan Chan, Nathan P. Lawrence, Karthik Pattabiraman
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Accelerating Residual Reinforcement Learning with Uncertainty Estimation AI summary
Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
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Active Scene Reconstruction with Topological Reasoning and Semantic-Augmented Reinforcement Learning AI summary
Yiqing Yuan, Zhi Li, Hao Ren, Kairao Zheng, Hui Cheng
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Agile and Controllable Omnidirectional Fast-Start Maneuvers of Robotic Fish Via Bio-Inspired Reinforcement Learning AI summary
Xu Huang, Xiaozhu Lin, Xiaopei Liu, Yang Wang
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Air Compressor Control Optimization in Commercial Vehicles Using Reinforcement Learning AI summary
Fabian Schuppert,,∗, Raul Gorek,, Bodo Rosenhahn and Timo von Marcard
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Behavior Cloning-Enhanced Deep Reinforcement Learning for Robot Navigation Via Dynamic Reward and Adaptive Replanning AI summary
Jianning Chi, fusheng li, Wenjun Zhang, Yongming Yang
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Beyond Domain Randomization: Safety Certificates for Reinforcement Learning AI summary
Paula Stocco, Francesco Micheli, Niklas Schmid, John Lygeros, Efe Balta
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Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving AI summary
Ahmed Abouelazm, Jonas Michel, Daniel Bogdoll, Philip Schörner, Johann Marius Zöllner
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CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions AI summary
Lizhi Yang, Blake Werner, Massimiliano de Sa, Aaron Ames
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CLF-RL: Control Lyapunov Function Guided Reinforcement Learning AI summary
Kejun Li, Zachary Olkin, Yisong Yue, Aaron Ames
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COLSON: Controllable Learning-Based Social Navigation Via Diffusion-Based Reinforcement Learning AI summary
Kohei Matsumoto, Yuki Tomita, Yuki Hyodo, Ryo Kurazume
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CoTaP: Compliant Task Pipeline and Reinforcement Learning of Its Controller with Compliance Modulation AI summary
Zewen He, Chen Chenyuan, Dilshod Azizov, Yoshihiko Nakamura
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Constructing and Navigating Connected Air Roads: A Safety-Critical Reinforcement Learning Approach for Multi-UAV Systems AI summary
Qihan Qi, Haojie Xia, Xinsong Yang, Jianquan Lu, Xingxing Ju
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Contact-Safe Reinforcement Learning with ProMP Reparameterization and Energy Awareness AI summary
Bingkun Huang, Yuhe Gong, Zewen Yang, Tianyu REN, Luis Figueredo
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Curriculum Reinforcement Learning for Quadrotor Racing with Random Obstacles AI summary
Fangyu Sun, Fanxing Li, Yu Hu, Linzuo Zhang, Yueqian Liu, Wenxian Yu, Danping Zou
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DAPPER: Discriminability-Aware Policy-To-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition AI summary
Yuki Kadokawa, Jonas Frey, Takahiro Miki, Takamitsu Matsubara, Marco Hutter
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Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning Via Normalizing Flows AI summary
Shaswat Garg, Matin Moezzi, Brandon Da Silva
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Deep Reinforcement Learning for Reach-Avoid-Stay Problems AI summary
Gabriel Chenevert, Jingqi Li, Achyuta Kannan, Sangjae Bae, Donggun Lee
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Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators AI summary
Amir Hossein Barjini, Seyed Adel Alizadeh Kolagar, Sadeq Yaqubi, Jouni Mattila
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DeepSkate: Reinforcement Learning of a Robust Controller for Energy Efficient Quadruped Skating AI summary
James Florin Petri, Gerard Lacey
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Demonstration-Augmented Deep Reinforcement Learning with Mixed Reality Human-In-The-Loop Guidance AI summary
Mohammad-Ehsan Matour, Alexander Winkler
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Efficient Hierarchical Reinforcement Learning with Dynamic Kolmogorov�Arnold Network for Long-Horizon Robotic Manipulation AI summary
Yuke Qu, Junkai Ren, Jiawei Luo, Yufeng Xie, Huimin Lu, Xin Xu, Yicong Ye
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Efficient and Versatile Quadrupedal Skating: Optimal Co-Design Via Reinforcement Learning and Bayesian Optimization AI summary
Hanwen Wang, Zhenlong Fang, Josiah Hanna, Xiaobin Xiong
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Efficiently Learning Robust Torque-Based Locomotion through Reinforcement with Model-Based Supervision AI summary
Yashuai Yan, Tobias Egle, Christian Ott, Dongheui Lee
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Embracing Bulky Objects with Humanoid Robots: Whole-Body Manipulation with Reinforcement Learning AI summary
Chunxin ZHENG, Kai Chen, Zhihai Bi, Yulin Li, Liang Pan, Jinni ZHOU, Haoang Li, Jun Ma
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Failure-Aware RL: Reliable Offline-To-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation AI summary
improving task performance.
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GRATE: A Graph Transformer-Based Deep Reinforcement Learning Approach for Time-Efficient Autonomous Robot Exploration AI summary
Haozhan Ni, Jingsong Liang, Chenyu He, Yuhong Cao, Guillaume Adrien Sartoretti
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Global End-Effector Pose Control of an Underactuated Aerial Manipulator via Reinforcement Learning AI summary
Shlok Deshmukh, Javier Alonso-Mora, Sihao Sun
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Graph-Based Multi-Agent Reinforcement Learning for Scalable UAV Formation Control and Target Tracking AI summary
Haowen Wang, Shuting Zhang, Guangchen Li
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HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning AI summary
Lavanya Ratnabala,, Robinroy Peter,, Aleksey Fedoseev, and Dzmitry Tsetserukou
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Hierarchical DLO Routing with Reinforcement Learning and In-Context Vision-Language Models AI summary
Mingen Li, Houjian Yu, Yixuan Huang, Youngjin Hong, Hantao Ye, Changhyun Choi
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Hydrodynamics Regularization in Reinforcement Learning for Navigating Crowded Scenarios AI summary
Lai Pingrui, Pan Renjie, Yu Jiaqi, Yang Hua
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Hysteresis-Aware Neural Network Modeling and Whole-Body Reinforcement Learning Control of Soft Robots AI summary
Zongyuan Chen, Yan Xia, Jiayuan Liu, Jijia Liu, Wenhao Tang, Jiayu Chen, Feng Gao, Longfei Ma, Hongen Liao, Yu Wang, Chao Yu, Boyu Zhang, Fei Xing
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Imitation-BT: Automating Behavior Tree Generation by Echoing Reinforcement Learning Agents AI summary
Shailendra Sekhar Bathula, Ramviyas Parasuraman
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JuggleRL: Mastering Ball Juggling with a Quadrotor Via Deep Reinforcement Learning AI summary
Shilong Ji, Yinuo Chen, Chuqi Wang, Jiayu Chen, Ruize Zhang, Feng Gao, Wenhao Tang, Shu'ang Yu, Sirui Xiang, Xinlei Chen, Chao Yu, Yu Wang
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LLM-Guided Task and Affordance-Level Exploration in Reinforcement Learning AI summary
Jelle Douwe Luijkx, RUNYU MA, Zlatan Ajanovic, Jens Kober
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Learning Behaviours for Decentralised Multi-Robot Collision Avoidance in Constrained Pathways Using Curriculum Reinforcement Learning AI summary
Md Mostafizur Rahman Komol, Brendan Tidd, Will Browne, Frederic Maire, Jason Williams, David Howard
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Learning Cooperative Strategies for Drone Swarms Using Multi-Agent Reinforcement Learning AI summary
Christian Llanes, Kyle Williams, Spencer Jensen, Samuel Coogan
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Learning Humanoid Arm Motion Via Centroidal Momentum Regularized Multi-Agent Reinforcement Learning AI summary
Ho Jae Lee, Se Hwan Jeon, Sangbae Kim
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Learning-Based Joint Control with Hierarchical Reinforcement Learning and On-Device Execution AI summary
Satoshi Yagi, Jun Morimoto
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Long-Term Mapping of the Douro River Plume with Multi-Agent Reinforcement Learning AI summary
Nicolo Dal Fabbro, Milad Mesbahi, Mendes Renato, João Sousa, George J. Pappas
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M2oE: Modular Mixture of Experts for Multi-Morphology Reinforcement Learning of Modular Robots AI summary
Chang Liu, Qinchao Xu, Satoshi Yagi, Satoshi Yamamori, Yaonan Zhu, Yusuke Iwasawa, Kazuya Yoshida, Jun Morimoto
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MS-CRL: Multi-Scale Global Path Planning with Progressive Curriculum Reinforcement Learning AI summary
Nan Zhou, Xuqing Hu, Yixin Zhou, Rui Zhu, Fan Zhou, Ye Li, Guangqiang Yin
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Mixed-Reality Digital Twins: Leveraging the Physical and Virtual Worlds for Hybrid Sim2Real Transition of Multi-Agent Reinforcement Learning Policies AI summary
Chinmay Samak, Tanmay Samak, Venkat Krovi
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MoRe-ERL: Learning Motion Residuals Using Episodic Reinforcement Learning AI summary
Xi Huang, Hongyi Zhou, Ge Li, Yucheng Tang, Weiran Liao, Björn Hein, Tamim Asfour, Rudolf Lioutikov
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Modeling and Reinforcement Learning-Based Control of Simultaneous Positive and Negative Pressure Generation in Pneumatic Systems AI summary
Sang Hyeon Park, Myeongyun Doh, Chanyong Park, Tuan Luong, Hyouk Ryeol Choi, Ja Choon Koo, Hugo Rodrigue, Hyungpil Moon
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Moment Latent Reinforcement Learning for Pattern Control in Swarm Robotic Systems AI summary
Wei Zhang, Haoyu Quan, Jr-Shin Li
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