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964 result(s) for “Reinforcement Learning” Page 2 of 20
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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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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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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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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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CLF-RL: Control Lyapunov Function Guided Reinforcement Learning AI summary
Kejun Li, Zachary Olkin, Yisong Yue, Aaron Ames
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RM-RL: Role-Model Reinforcement Learning for Precise Robot Manipulation AI summary
Xiangyu Chen, Chuhao Zhou, Yuxi Liu, Jianfei Yang
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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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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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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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Squeezing the Last Drop of Accuracy: Hand-Eye Calibration Via Deep Reinforcement Learning-Guided Pose Tuning AI summary
Seunghui Shin, Daeho Kim, Hyoseok Hwang
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Scalable Multi-Agent Reinforcement Learning Framework for Multi-Machine Tending AI summary
Abdalwhab Bakheet Mohamed Abdalwhab, Giovanni Beltrame, David St-Onge
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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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Simultaneous Deep Model-Based Reinforcement Learning and State Inference under Partial Observability AI summary
William Cong, Josiah Hanna
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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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Proactive Risk-Aware Trajectory Planning for Autonomous Driving in Unstructured Environments Via Reinforcement Learning with Adaptive Reward Design AI summary
Jiawei Du, Weiming Qu, Shenghai Yuan, Jia Wang, qifei bai, chengguang li, Xihong Wu, Dingsheng Luo
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TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning AI summary
Momchil Tomov, Sang Uk Lee, Hansford Hendargo, Jinwook Huh, Teawon Han, Forbes Howington, Rafael Rodrigues da Silva, Gianmarco Bernasconi, Marc Heim, Samuel Findler, Xiaonan Ji, Alexander Boule, Michael Napoli, Kuo Chen, Jesse Miller, Boaz Cornelis Floor, Yunqing Hu
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Swimming under Constraints: A Safe Reinforcement Learning Framework for Quadrupedal Bio-Inspired Propulsion AI summary
Xinyu Cui, Fei Han, Hang Xu, Yongcheng Zeng, Luoyang Sun, RuiZhi Zhang, Jian Zhao, Haifeng Zhang, Weikun Li, Hao Chen, Jun Wang, Dixia Fan
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Scaling Multi-Agent Reinforcement Learning for Underwater Acoustic Tracking Via Autonomous Vehicles AI summary
Matteo Gallici, Ivan Masmitja, Mario Martin
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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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Policy Diversification through Representation Distinguishability Regularization for Multi-Actor Deep Reinforcement Learning AI summary
Meng XU, Xinhong Chen, Shuguang Wang, Guanyi Zhao, Jianping Wang
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Vision-Guided Outdoor Flight and Obstacle Evasion Via Reinforcement Learning AI summary
Shiladitya Dutta, Aayush Gupta, Varun Saran, Avideh Zakhor
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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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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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Single-View 3D-Aware Representations for Reinforcement Learning by Cross-View Neural Radiance Fields AI summary
Daesol Cho, Seungyeon Yoo, Dongseok Shim, H. Jin Kim
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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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TACC: Multi-Agent Reinforcement Learning for Task Allocation with Communication Coordination in UAV Swarms AI summary
Zehao Xiong, Yexun Xi, Yizhe Cao, Chuan Li, Rong Li, Lixian Shen and Jie Li∗
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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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SHaRe-RL: Structured, Interactive Reinforcement Learning for Contact-Rich Industrial Assembly Tasks AI summary
Jannick Stranghöner, Philipp Hartmann, Lisa-Marie Weigelt, Marco Braun, Sebastian Wrede, Klaus Neumann
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Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd �AI Olympics with RealAIGym� Competition AI summary
Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Jean Seong Bjorn Choe, Bumkyu Choi, Tim Faust, Habib Maraqten, Erfan Aghadavoodi Jolfaei, Marco Calì, Alberto Sinigaglia, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Jong-kook Kim, Gian Antonio Susto, Shubham Vyas, Dennis Mronga, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar
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Receding Horizon Reinforcement Learning with Autoregressive Model for Motion Control of Autonomous Vehicles AI summary
Xin Yin, Haotian CAO, Xinglong Zhang, Qingwen Ma, Xin Xu, Haibin Xie
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PACE: Physics Augmentation for Coordinated End-to-end Reinforcement Learning toward Versatile Humanoid Table Tennis AI summary
Muqun Hu, Wenxi Chen, Wenjing Li, Falak Mandali, Zijian He, Renhong Zhang, Praveen Krisna, Katherine Christian, Leo Benaharon, Dizhi Ma, Karthik Ramani, Yan Gu
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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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Self-Organised Sequential Multi-Agent Reinforcement Learning for Closely Cooperation Tasks AI summary
Hao Fu, YOU MINGYU, Zhou Hongjun, Bin He
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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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NaviGait: Navigating Dynamically Feasible Gait Libraries Using Deep Reinforcement Learning AI summary
Neil Janwani, Varun Madabushi, Maegan Tucker
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Reward Evolution with Graph-Of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning AI summary
Changwei Yao, Xinzi Liu, Chen Li, Marios Savvides
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Using Non-Expert Data to Robustify Imitation Learning Via Offline Reinforcement Learning AI summary
Kevin Huang, Rosario Scalise, Cleah Winston, Ayush Agrawal, Yunchu Zhang, Rohan Baijal, Markus Grotz, Byron Boots, Benjamin Burchfiel, Hongkai Dai, Masha Itkina, Paarth Shah, Abhishek Gupta
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Transferring Policy of Offline Reinforcement Learning from Hybrid Dataset to Real World Via Progressive Neural Network AI summary
Pengyu Zhao, Zheng Fang, Tongxu Ai, Eric Nichols, Randy Gomez, Bo He, Guangliang Li
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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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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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Deep Reinforcement Learning for Hip Exoskeleton Control Via Predictive Simulation of Reflex-Based Human Gait AI summary
Hossein Barati, Sangdo Kim, Thanh Xuan Nguyen, Jongwon Lee, Young Jin Park
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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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SIGN: Safety-Aware Image-Goal Navigation for Autonomous Drones Via Reinforcement Learning AI summary
Zichen Yan, Rui Huang, Lei He, Shao Guo, Lin Zhao
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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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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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Moment Latent Reinforcement Learning for Pattern Control in Swarm Robotic Systems AI summary
Wei Zhang, Haoyu Quan, Jr-Shin Li
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Sight Over Site: Perception-Aware Reinforcement Learning for Efficient Robotic Inspection AI summary
Richard Kuhlmann, Jakob Wolfram, Boyang Sun, Jiaxu Xing, Davide Scaramuzza, Marc Pollefeys, Cesar Cadena
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Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution AI summary
Humphrey James Lee Munn, Brendan Tidd, Peter Bohm, Marcus Gallagher, David Howard
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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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URPlanner: A Universal Paradigm for Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning AI summary
Fengkang Ying, Hanwen Zhang, Haozhe Wang, Huishi Huang, Marcelo H Ang Jr
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