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728 result(s) for “Reinforcement Learning” Page 1 of 15
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Torque-Based Deep Reinforcement Learning for Task-And-Robot Agnostic Learning on Bipedal Robots Using Sim-To-Real Transfer
Donghyeon Kim, Glen Berseth, Mathew Schwartz, Jaeheung Park
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AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
Dongsu Lee, Chanin Eom, Minhae Kwon
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Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka
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Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
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Optimal Containment Control of Multiple Quadrotors Via Reinforcement Learning
Ming Cheng, Hao Liu, Deyuan Liu, Haibo Gu, Xiangke Wang
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A Tube-Based Reinforcement Learning Approach for Optimal Motion Planning in Unknown Workspaces
Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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POAQL: A Partially Observable Altruistic Q-Learning Method for Cooperative Multi-Agent Reinforcement Learning
Lesong Tao, miao kang, Jinpeng Dong, Songyi Zhang, Ke Ye, Shitao Chen, Nanning Zheng
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Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions
Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, Johann Marius Zöllner
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Reinforcement Learning for Collision-Free Flight Exploiting Deep Collision Encoding
Mihir Kulkarni, Kostas Alexis
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Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning
Thomas Bi, Raffaello D'Andrea
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Multi-Robot Cooperative Socially-Aware Navigation Using Multi-Agent Reinforcement Learning
Weizheng Wang, Le Mao, Ruiqi Wang, Byung-Cheol Min
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Leveraging the Efficiency of Multi-Task Robot Manipulation Via Task-Evoked Planner and Reinforcement Learning
Haofu Qian, Haoyang Zhang, Jun Shao, Jiatao Zhang, Jason Gu, Wei Song, Shiqiang Zhu
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Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations Via Inverse Reinforcement Learning
Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
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Dynamic Crane Scheduling with Reinforcement Learning for a Steel Coil Warehouse
Sang-Hyun Cho, Woo-Jin Shin, Jeongsun Ahn, Sanghyun Joo, Hyun-Jung Kim
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Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints
Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe
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MORPH: Design Co-Optimization with Reinforcement Learning Via a Differentiable Hardware Model Proxy
Zhanpeng He, Matei Ciocarlie
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Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Josselin Somerville Roberts, Julia Di
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Reinforcement Learning for Freeform Robot Design
Muhan Li, David Matthews, Sam Kriegman
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An Environmental-Complexity-Based Navigation Method Based on Hierarchical Deep Reinforcement Learning
Pengbin Chen, Qi Liu, Yanjie Li, Shuaikang Ma
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An Efficient Model Based Approach on Learning Agile Motor Skills without Reinforcement
Haojie Shi, Tingguang Li, Qingxu Zhu, Jiapeng Sheng, Lei Han, Max Q.-H. Meng
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Towards Real-World Efficiency: Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous Robots
Bahador Beigomi, ZhengHong (George) Zhu
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Distributional Reinforcement Learning with Sample-Set Bellman Update
Weijian Zhang, Jianshu Wang, Yu Yang
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Sim2Real Manipulation on Unknown Objects with Tactile-Based Reinforcement Learning
Entong Su, Chengzhe Jia, Yuzhe Qin, Wenxuan Zhou, Annabella Macaluso, Binghao Huang, Xiaolong Wang
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Adapting to the �Open World�: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning
Pierrick Lorang, Horvath Helmut, Tobias Kietreiber, Patrik Zips, Clemens Heitzinger, Matthias Scheutz
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Experience Consistency Distillation Continual Reinforcement Learning for Robotic Manipulation Tasks
Chao Zhao, Jie Xu, Ru Peng, Xingyu Chen, Kuizhi Mei, Xuguang Lan
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Effective Representation Learning Is More Effective in Reinforcement Learning Than You Think
Jiawei Zheng, Yonghong Song
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AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning
Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi
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Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing
Haolan Liu, Liangjun Zhang, Siva Kumar Sastry Hari, Jishen Zhao
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Enhanced Human-Robot Collaboration with Intent Prediction Using Deep Inverse Reinforcement Learning
Mukund Mitra, Gyanig Kumar, Partha Pratim Chakrabarti, PRADIPTA Biswas
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Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe, Abbas Abdolmaleki, Sandy H. Huang, Sarah Bechtle, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin Riedmiller
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VO-Safe Reinforcement Learning for Drone Navigation
Feiqiang Lin, Changyun Wei, Raphael Grech, Ze Ji
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Lens Capsule Tearing in Cataract Surgery Using Reinforcement Learning
Rebekka Charlotte Peter, Steffen Peikert, Ludwig Haide, Doan Xuan Viet Pham, Tahar Chettaoui, Eleonora Tagliabue, Paul Maria Scheikl, Johannes Fauser, Matthias Hillenbrand, Gerhard Neumann, Franziska Mathis-Ullrich
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Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning Based Local Motion Planners
wen zheng terence ng, jianda chen, Sinno Jialin Pan, Tianwei Zhang
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A Multifidelity Sim-To-Real Pipeline for Verifiable and Compositional Reinforcement Learning
Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu
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End-To-End Reinforcement Learning for Time Optimal Quadcopter Flight
Robin Ferede, Christophe De Wagter, Dario Izzo, Guido de Croon
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Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning
Hao Zhang, Hao Wang, Zhen Kan
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A Reinforcement Learning-Based Control Strategy for Robust Interaction of Robotic Systems with Uncertain Environments
Diletta Sacerdoti, Federico Benzi, Cristian Secchi
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Projection-Based Fast and Safe Policy Optimization for Reinforcement Learning
Shijun Lin, Hao Wang, Ziyang Chen, Zhen Kan
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Sim-To-Real Robotic Sketching Using Behavior Cloning and Reinforcement Learning
Biao Jia, Dinesh Manocha
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Integrating Robot Assignment and Maintenance Management: A Multi-Agent Reinforcement Learning Approach for Holistic Control
Kshitij Bhatta, Qing Chang
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Learning Risk-Aware Quadrupedal Locomotion Using Distributional Reinforcement Learning
Lukas Schneider, Jonas Frey, Takahiro Miki, Marco Hutter
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Reinforcement Learning with Energy-Exchange Dynamics for Spring-Loaded Biped Robot Walking
Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
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Automatic Loading of Unknown Material with a Wheel Loader Using Reinforcement Learning
Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer
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Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration
Jakob Thumm, Felix Trost, Matthias Althoff
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Contrastive Initial State Buffer for Reinforcement Learning
Nico Messikommer, Yunlong Song, Davide Scaramuzza
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Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
Fan Yang, Wenxuan Zhou, Zuxin Liu, DING ZHAO, David Held
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Dual-Critic Deep Reinforcement Learning for Push-Grasping Synergy in Cluttered Environment
Jiakang Zhong, Yew Wee Wong, Jiong Jin, yong song, Xianfeng Yuan, Xiaoqi Chen
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Synthesis of Temporally-Robust Policies for Signal Temporal Logic Tasks Using Reinforcement Learning
Siqi Wang, Shaoyuan Li, Li Yin, Xiang Yin
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Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning
Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
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ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch
Zhengrong Xue, Han Zhang, Cheng Jingwen, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu
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