Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

10 April 2017

Martin Riedmiller

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

50 / 133 papers shown

Title
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation Tan Shu Li Shen 49 0 0 04 Apr 2025
KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies Shih-Min Yang Martin Magnusson J. A. Stork Todor Stoyanov 49 0 0 23 Mar 2025
APEX-MR: Multi-Robot Asynchronous Planning and Execution for Cooperative Assembly Philip Huang Ruixuan Liu Changliu Liu Jiaoyang Li 76 3 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 77 13 0 14 Mar 2025
Eye-in-Finger: Smart Fingers for Delicate Assembly and Disassembly of LEGO Zhenran Tang Ruixuan Liu Changliu Liu 65 0 0 10 Mar 2025
A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards Shivansh Patel Xinchen Yin Wenlong Huang Shubham Garg H. Nayyeri Li Fei-Fei Svetlana Lazebnik Yong Li 95 0 0 12 Feb 2025
Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation Paul Jansonnie Bingbing Wu Julien Perez Jan Peters SSL 30 0 0 07 Oct 2024
Predictive Coding for Decision Transformer Tung M. Luu Donghoon Lee Chang D. Yoo OffRL 66 2 0 04 Oct 2024
Diffusion-Informed Probabilistic Contact Search for Multi-Finger Manipulation Abhinav Kumar Thomas Power Fan Yang Sergio Aguilera Marinovic Soshi Iba Rana Soltani Zarrin Dmitry Berenson 43 0 0 01 Oct 2024
DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots Maria Bauzá José Enrique Chen Valentin Dalibard Nimrod Gileadi Roland Hafner ... Martin Riedmiller Jon Scholz Konstantinos Bousmalis Francesco Nori Nicolas Heess 34 5 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 28 1 0 18 Aug 2024
Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Values Ashwin Ramaswamy Ransalu Senanayake 27 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 41 4 0 06 May 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 40 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 Peng Sun Tao Gui Qi Zhang Xuanjing Huang LRM 42 22 0 08 Feb 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning Jianlan Luo Zheyuan Hu Charles Xu You Liang Tan Jacob Berg Archit Sharma S. Schaal Chelsea Finn Abhishek Gupta Sergey Levine OffRL OnRL 39 41 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 30 4 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 50 26 0 14 Dec 2023
Rapid Motor Adaptation for Robotic Manipulator Arms Yichao Liang Kevin Ellis Joao Henriques 35 4 0 07 Dec 2023
Risk-averse Batch Active Inverse Reward Design Panagiotis Liampas 18 0 0 20 Nov 2023
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks Ziqiang Li Pengfei Xia Hong Sun Yueqi Zeng Wei Zhang Bin Li AAML 48 10 0 15 Oct 2023
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation Yanjie Ze Yuyao Liu Ruizhe Shi Jiaxin Qin Zhecheng Yuan Jiashun Wang Huazhe Xu 38 1 0 02 Oct 2023
A Lightweight and Transferable Design for Robust LEGO Manipulation Ruixuan Liu Yifan Sun Changliu Liu 32 6 0 05 Sep 2023
FOCUS: Object-Centric World Models for Robotics Manipulation Stefano Ferraro Pietro Mazzaglia Tim Verbelen Bart Dhoedt OCL LM&Ro 40 13 0 05 Jul 2023
Learning to Generate Better Than Your LLM Jonathan D. Chang Kianté Brantley Rajkumar Ramamurthy Dipendra Kumar Misra Wen Sun 27 42 0 20 Jun 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version) Pulkit Verma Rushang Karia Siddharth Srivastava 24 10 0 07 Jun 2023
Robotic LEGO Assembly and Disassembly from Human Demonstration Ruixuan Liu Yifan Sun Changliu Liu 14 5 0 25 May 2023
GUARD: A Safe Reinforcement Learning Benchmark Weiye Zhao Rui Chen Yifan Sun Ruixuan Liu Tianhao Wei Changliu Liu 54 13 0 23 May 2023
Causal Policy Gradient for Whole-Body Mobile Manipulation Jiaheng Hu Peter Stone Roberto Martín-Martín 42 20 0 04 May 2023
Learning adaptive manipulation of objects with revolute joint: A case study on varied cabinet doors opening Hongxiang Yu Dashun Guo Zhongxiang Zhou Yue Wang R. Xiong 37 0 0 28 Apr 2023
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning Abraham George Alison Bartsch A. Farimani OffRL 19 5 0 22 Sep 2022
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning Andrej Orsula Simon Boegh Miguel Olivares-Mendez C. Martínez 20 18 0 01 Aug 2022
Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards Yixiang Wang Yujing Hu Feng Wu Yingfeng Chen 6 2 0 29 Jul 2022
Learning to Use Chopsticks in Diverse Gripping Styles Zeshi Yang KangKang Yin Libin Liu 32 29 0 28 May 2022
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping Yunsik Jung Lingfeng Tao Michael Bowman Jiucai Zhang Xiaoli Zhang 6 0 0 26 May 2022
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum Lingfeng Tao Jiucai Zhang Xiaoli Zhang 38 5 0 26 May 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference Yufei Feng Xiaoyu Yang Xiao-Dan Zhu Michael A. Greenspan LRM NAI 50 11 0 09 Mar 2022
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning Aditya Ganapathi Peter R. Florence Jacob Varley Kaylee Burns Ken Goldberg Andy Zeng 36 16 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 39 5 0 21 Dec 2021
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics Ingmar Schubert Danny Driess Ozgur S. Oguz Marc Toussaint OffRL 22 1 0 15 Nov 2021
Contrastive Active Inference Pietro Mazzaglia Tim Verbelen Bart Dhoedt 17 25 0 19 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 32 15 0 05 Oct 2021
Real Robot Challenge: A Robotics Competition in the Cloud Stefan Bauer Felix Widmaier M. Wuthrich Annika Buchholz Sebastian Stark ... David Córdova Bulens Kevin McGuinness Noel E. O'Connor S. Redmond Bernhard Schölkopf 27 12 0 22 Sep 2021
Parallelized Reverse Curriculum Generation Zih-Yun Chiu Yi-Lin Tuan Hung-yi Lee Li-Chen Fu 22 1 0 04 Aug 2021
Discovering User-Interpretable Capabilities of Black-Box Planning Agents Pulkit Verma Shashank Rao Marpally Siddharth Srivastava ELM LLMAG 16 20 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 13 10 0 21 Jul 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai Christina Baek Zhengyuan Zhou Jiantao Jiao Yi Ma 27 22 0 08 Jul 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 48 6 0 26 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin M. Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 52 77 0 01 Jun 2021
Hyperparameter Selection for Imitation Learning Léonard Hussenot Marcin Andrychowicz Damien Vincent Robert Dadashi Anton Raichuk ... Sabela Ramos Manu Orsini Olivier Bachem M. Geist Olivier Pietquin 56 18 0 25 May 2021