Papers citing 'Data-efficient Deep Reinforcement Learning for Dexterous Manipulation'

Title
Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents J. Obando-Ceron Walter Mayor Samuel Lavoie Scott Fujimoto Aaron Courville Pablo Samuel Castro 136 1 0 15 Oct 2025
Prompt-to-Product: Generative Assembly via Bimanual Manipulation Ruixuan Liu Philip Huang Ava Pun Kangle Deng Shobhit Aggarwal ... M. Liu Deva Ramanan Jun-Yan Zhu Jiaoyang Li Changliu Liu 89 0 0 28 Aug 2025
Periodic robust robotic rock chop via virtual model control Yi Zhang Fumiya Iida Fulvio Forni 92 0 0 04 Aug 2025
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation Tan Shu Li Shen 275 13 0 04 Apr 2025
KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies Shih-Min Yang Martin Magnusson J. A. Stork Todor Stoyanov 273 0 0 23 Mar 2025
APEX-MR: Multi-Robot Asynchronous Planning and Execution for Cooperative Assembly Philip Huang Ruixuan Liu Shobhit Aggarwal Changliu Liu Jiaoyang Li 290 12 0 20 Mar 2025
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation Bowen Baker Joost Huizinga Leo Gao Zehao Dou M. Guan Aleksander Mądry Wojciech Zaremba J. Pachocki David Farhi LRM 407 123 0 14 Mar 2025
Eye-in-Finger: Smart Fingers for Delicate Assembly and Disassembly of LEGO Zhenran Tang Ruixuan Liu Changliu Liu 191 1 0 10 Mar 2025
A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint RewardsIEEE International Conference on Robotics and Automation (ICRA), 2025 Shivansh Patel Xinchen Yin Wenlong Huang Shubham Garg H. Nayyeri Li Fei-Fei Svetlana Lazebnik Yongqian Li 388 1 0 12 Feb 2025
Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task GenerationIEEE-RAS International Conference on Humanoid Robots (Humanoids), 2024 Paul Jansonnie Bingbing Wu Julien Perez Jan Peters SSL 249 3 0 07 Oct 2024
Predictive Coding for Decision TransformerIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 Tung M. Luu Donghoon Lee Chang D. Yoo OffRL 265 6 0 04 Oct 2024
Diffusion-Informed Probabilistic Contact Search for Multi-Finger ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2024 Abhinav Kumar Thomas Power Fan Yang Sergio Aguilera Marinovic Soshi Iba Rana Soltani Zarrin Dmitry Berenson 235 4 0 01 Oct 2024
DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robotsIEEE International Conference on Robotics and Automation (ICRA), 2024 Maria Bauzá José Enrique Chen Valentin Dalibard Nimrod Gileadi Agrim Gupta ... Martin Riedmiller Jon Scholz Konstantinos Bousmalis Francesco Nori Nicolas Heess 287 9 0 10 Sep 2024
Enhancing Quantum Memory Lifetime with Measurement-Free Local Error Correction and Reinforcement Learning Mincheol Park N. Maskara Marcin Kalinowski Mikhail D. Lukin 160 5 0 18 Aug 2024
Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Values Ashwin Ramaswamy Ransalu Senanayake 215 0 0 14 Jul 2024
Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning Stone Tao Arth Shukla Tse-kai Chan Hao Su OffRL 206 8 0 06 May 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 199 0 0 31 Mar 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning Zhiheng Xi Wenxiang Chen Boyang Hong Senjie Jin Rui Zheng ... Xinbo Zhang Yang Liu Tao Gui Tao Gui Xuanjing Huang LRM 186 53 0 08 Feb 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2024 Jianlan Luo Zheyuan Hu Charles Xu You Liang Tan Jacob Berg Archit Sharma S. Schaal Chelsea Finn Abhishek Gupta Sergey Levine OffRL OnRL 587 90 0 29 Jan 2024
Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security Alec Wilson Ryan Menzies Neela Morarji David Foster M. C. Mont E. Turkbeyler Lisa Gralewski 156 5 0 18 Jan 2024
Vision-Language Models as a Source of Rewards Kate Baumli Satinder Baveja Feryal M. P. Behbahani Harris Chan Gheorghe Comanici ... Yannick Schroecker Stephen Spencer Richie Steigerwald Luyu Wang Lei Zhang VLM LRM 288 50 0 14 Dec 2023
Rapid Motor Adaptation for Robotic Manipulator ArmsComputer Vision and Pattern Recognition (CVPR), 2023 Yichao Liang Kevin Ellis Joao Henriques 249 9 0 07 Dec 2023
Risk-averse Batch Active Inverse Reward Design Panagiotis Liampas 128 0 0 20 Nov 2023
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks Wandi Qiao Pengfei Xia Hong Sun Yueqi Zeng Wei Zhang Bin Li AAML 239 11 0 15 Oct 2023
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous ManipulationNeural Information Processing Systems (NeurIPS), 2023 Yanjie Ze Yuyao Liu Ruizhe Shi Jiaxin Qin Zhecheng Yuan Jiashun Wang Huazhe Xu 300 1 0 02 Oct 2023
A Lightweight and Transferable Design for Robust LEGO Manipulation Ruixuan Liu Yifan Sun Changliu Liu 297 11 0 05 Sep 2023
FOCUS: Object-Centric World Models for Robotics Manipulation Stefano Ferraro Pietro Mazzaglia Tim Verbelen Bart Dhoedt OCL LM&Ro 248 17 0 05 Jul 2023
Learning to Generate Better Than Your LLM Jonathan D. Chang Kianté Brantley Rajkumar Ramamurthy Dipendra Kumar Misra Wen Sun 260 54 0 20 Jun 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version)Neural Information Processing Systems (NeurIPS), 2023 Pulkit Verma Rushang Karia Siddharth Srivastava 213 11 0 07 Jun 2023
Robotic LEGO Assembly and Disassembly from Human Demonstration Ruixuan Liu Yifan Sun Changliu Liu 250 5 0 25 May 2023
GUARD: A Safe Reinforcement Learning Benchmark Weiye Zhao Rui Chen Yifan Sun Ruixuan Liu Tianhao Wei Changliu Liu 267 18 0 23 May 2023
Causal Policy Gradient for Whole-Body Mobile Manipulation Jiaheng Hu Peter Stone Roberto Martín-Martín 356 31 0 04 May 2023
Learning adaptive manipulation of objects with revolute joint: A case study on varied cabinet doors openingCybersecurity and Cyberforensics Conference (CC), 2023 Hongxiang Yu Dashun Guo Zhongxiang Zhou Yue Wang R. Xiong 261 1 0 28 Apr 2023
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2022 Abraham George Alison Bartsch A. Farimani OffRL 198 7 0 22 Sep 2022
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Andrej Orsula Simon Boegh Miguel Olivares-Mendez C. Martínez 135 23 0 01 Aug 2022
Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards Yixiang Wang Yujing Hu Feng Wu Yingfeng Chen 132 3 0 29 Jul 2022
Learning to Use Chopsticks in Diverse Gripping StylesACM Transactions on Graphics (TOG), 2022 Zeshi Yang KangKang Yin Libin Liu 465 35 0 28 May 2022
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping Yunsik Jung Lingfeng Tao Michael Bowman Jiucai Zhang Xiaoli Zhang 246 1 0 26 May 2022
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical CurriculumJournal of Intelligent and Robotic Systems (J. Intell. Robot. Syst.), 2022 Lingfeng Tao Jiucai Zhang Xiaoli Zhang 256 5 0 26 May 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language InferenceTransactions of the Association for Computational Linguistics (TACL), 2022 Yufei Feng Xiaoyu Yang Xiao-Dan Zhu Michael A. Greenspan LRM NAI 350 13 0 09 Mar 2022
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot LearningIEEE International Conference on Robotics and Automation (ICRA), 2022 Aditya Ganapathi Peter R. Florence Jacob Varley Kaylee Burns Ken Goldberg Andy Zeng 302 19 0 03 Mar 2022
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients Jiafei Lyu Yu Yang Jiangpeng Yan Xiu Li OffRL AI4CE 195 12 0 21 Dec 2021
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in RoboticsNeural Information Processing Systems (NeurIPS), 2021 Ingmar Schubert Danny Driess Ozgur S. Oguz Marc Toussaint OffRL 137 1 0 15 Nov 2021
Contrastive Active Inference Pietro Mazzaglia Tim Verbelen Bart Dhoedt 348 29 0 19 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 225 16 0 05 Oct 2021
Real Robot Challenge: A Robotics Competition in the CloudNeural Information Processing Systems (NeurIPS), 2021 Stefan Bauer Felix Widmaier M. Wuthrich Annika Buchholz Sebastian Stark ... David Córdova Bulens Kevin McGuinness Noel E. O'Connor S. Redmond Bernhard Schölkopf 175 15 0 22 Sep 2021
Parallelized Reverse Curriculum Generation Zih-Yun Chiu Yi-Lin Tuan Hung-yi Lee Li-Chen Fu 129 1 0 04 Aug 2021
Discovering User-Interpretable Capabilities of Black-Box Planning AgentsInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2021 Pulkit Verma Shashank Rao Marpally Siddharth Srivastava ELM LLMAG 387 25 0 28 Jul 2021
MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments Dimitrios I. Koutras Athanasios Ch. Kapoutsis A. Amanatiadis Elias B. Kosmatopoulos 192 14 0 21 Jul 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy LearningJournal of Artificial Intelligence Research (JAIR), 2021 Yuexiang Zhai Christina Baek Zhengyuan Zhou Jiantao Jiao Yi-An Ma 342 27 0 08 Jul 2021