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964 result(s) for “Reinforcement Learning” Page 1 of 20
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Reinforcement Learning for Stair Locomotion of a Wheeled Bipedal Robot with Contact-Guided Behavior Cloning AI summary
Yi Gyeom Kim, Sejik Oh, Hyojin Jo, Dogyun Park, Nam Kyu Kwon
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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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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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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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Learning-Based Joint Control with Hierarchical Reinforcement Learning and On-Device Execution AI summary
Satoshi Yagi, Jun Morimoto
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SwarmNav: Swarm Robotics Navigation in Dynamic and Dense Environments Via Reinforcement Learning AI summary
Shengbo Li, Chuanjie Lv, Xiangqian Yuan, Liming Xu, Xinyang Liu, Zongzhi Zhu, Gang Xu, Yong Liu
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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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Quasimetric Decision Transformers: Enhancing Goal-Conditioned Reinforcement Learning with Structured Distance Guidance AI summary
MADHAV GOYANI, Heidar Davoudi, Mehran Ebrahimi
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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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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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Semantically-Driven Deep Reinforcement Learning for Inspection Path Planning AI summary
Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis
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Quadrotor Navigation Using Reinforcement Learning with Privileged Information AI summary
Jonathan Lee, Abhishek Rathod, Kshitij Goel, John Stecklein, Wennie Tabib
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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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Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention AI summary
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
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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 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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Multi-Task Reinforcement Learning of Drone Aerobatics by Exploiting Geometric Symmetries AI summary
Zhanyu Guo,, Zikang Yin,, Guobin Zhu,, Shiliang Guo, and Shiyu Zhao∗
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Reinforcement Learning for Active Perception in Autonomous Navigation AI summary
Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis
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SurgIRL: Towards Life-Long Learning for Surgical Automation by Incremental Reinforcement Learning AI summary
Yun-Jie Ho, Zih-Yun Chiu, Yuheng Zhi, Michael C. Yip
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Preference-Conditioned Reinforcement Learning for Space-Time Efficient Online 3D Bin Packing AI summary
Nikita Sarawgi, Omey Mohan Manyar, Fan Wang, Thinh Nguyen, Daniel Seita, Satyandra K. Gupta
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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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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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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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Progress Constraints for Reinforcement Learning in Behavior Trees AI summary
Finn Rietz, Mart Karta�ev, Petter Ogren, Johannes A. Stork
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Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning AI summary
Dwait Bhatt, Shih-Chieh Chou, Nikolay Atanasov
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Multi-Dimensional Perturbation Strategies for Adversarial Attacks in Multi-Agent Deep Reinforcement Learning AI summary
Runwen Chen, shuo feng, Tianzhe Qi, yucheng shi, Xiaorong Hu, Yang Zhao, bo sun, Zhao Jin, Yizhe Luo, Mingliang Xu
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Reinforcement Learning Control Outperforms Iterative Learning in Exoskeleton-Assisted Gait Training AI summary
Andy Li, Haoran Li, Aytac Teker, Mariana Hernandez-Rocha, Biruk Gebre, Karen Nolan J., Kishore Pochiraju, Damiano Zanotto
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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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Decentralized Reinforcement Learning for Multi-Agent Multi-Resource Allocation Via Dynamic Cluster Agreements AI summary
Antonio Marino, Esteban Restrepo, Claudio Pacchierotti, Paolo Robuffo Giordano
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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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Supportive Relationships-Aware Hierarchical Reinforcement Learning for Efficient Ex-Situ Object Rearrangement AI summary
leibing xiao, Xuemei Wang, Zhao Zhongqiang, Yachao Wang, Jin Liu, Chaoqun Wang
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Parallel Heuristic Search As Inference for Actor-Critic Reinforcement Learning Models AI summary
Hanlan Yang, Itamar Mishani, Luca Pivetti, Zachary Kingston, Maxim Likhachev
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Precedence-Aware Multi-UAV Task Allocation with an Attention-Based Reinforcement Learning Framework AI summary
Xurui Liu
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Transformer-Based Hierarchical Reinforcement Learning for Sequential Decision-Making in Swarm Confrontation AI summary
Ruozhai Sun, Qizhen Wu, Lei Chen
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Risk-Aware Reinforcement Learning with Bandit-Based Adaptation for Quadrupedal Locomotion AI summary
Yuanhong Zeng, Anushri Dixit
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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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SURF-Loco: Mastering Complex Industrial Terrains with 3D Surfel-Based Reinforcement Learning for Legged Robots AI summary
Bailin He, Xiting Zhao, Qiao Sun, Xiaoyi Hu, haojie Liu, Jiangwei Zhong, Wenqiang Zhang
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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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Safe and Optimal Variable Impedance Control Via Certified Reinforcement Learning AI summary
Shreyas Kumar, Ravi Prakash
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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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TADPO: Reinforcement Learning Goes Off-Road AI summary
Zhouchonghao Wu, Raymond Song, Vedant Mundheda, Luis E. Navarro-Serment, Christof Schoenborn, Jeff Schneider
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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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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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SEG-Parking: Towards Safe, Efficient, and Generalizable Autonomous Parking Via End-To-End Offline Reinforcement Learning AI summary
Zewei Yang, Zengqi Peng, Jun Ma
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Trailer-aware End-to-end Autonomous Driving for Tractor-Trailers with Deep Reinforcement Learning AI summary
Congfei Li, Yang Li, Peigen Liu, Rongqi Gu, Zuolei Sun, Yuxiang Sun
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Reinforcement Learning-Based Robust Wall Climbing Locomotion Controller in Ferromagnetic Environment AI summary
Yong Um, Young-Ha Shin, Joon-Ha Kim, Soonpyo Kwon, Hae-Won Park
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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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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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ARMOR: Attack-Resilient Reinforcement Learning Control for UAVs AI summary
Pritam Dash, Ethan Chan, Nathan P. Lawrence, Karthik Pattabiraman
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