Deep Predictive Policy Training using Reinforcement Learning

2 March 2017

Danica Kragic

Papers citing "Deep Predictive Policy Training using Reinforcement Learning"

50 / 73 papers shown

Title
Mastering Agile Tasks with Limited Trials Yihang Hu Pingyue Sheng Shengjie Wang Yang Gao 51 0 0 28 May 2025
Robotic Table Tennis: A Case Study into a High Speed Learning System David B. DÁmbrosio Jonathan Abelian Saminda Abeyruwan Michael Ahn Alex Bewley ... Vikas Sindhwani Avi Singh Vincent Vanhoucke Grace Vesom Peng Xu 145 15 0 20 Feb 2025
Whole-Body Dynamic Throwing with Legged Manipulators Humphrey Munn Brendan Tidd Peter Böhm M. Gallagher David Howard 98 3 0 08 Oct 2024
Improving Soft-Capture Phase Success in Space Debris Removal Missions: Leveraging Deep Reinforcement Learning and Tactile Feedback Bahador Beigomi Zheng H. Zhu 60 0 0 18 Sep 2024
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version) Emma Cramer Jonas Reiher Sebastian Trimpe 77 0 0 01 Dec 2023
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning Jingyun Yang Max Sobol Mark Brandon Vu Archit Sharma Jeannette Bohg Chelsea Finn OffRL OnRL 95 25 0 23 Oct 2023
Evaluating Robustness of Visual Representations for Object Assembly Task Requiring Spatio-Geometrical Reasoning Chahyon Ku Carl Winge Ryan Diaz Wentao Yuan Karthik Desingh 88 3 0 15 Oct 2023
Dynamic Handover: Throw and Catch with Bimanual Hands Binghao Huang Yuanpei Chen Tianyu Wang Yuzhe Qin Yaodong Yang Nikolay Atanasov Xiaolong Wang 47 39 0 11 Sep 2023
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm C. Bellinger Laurence Lamarche-Cliche 76 0 0 28 Aug 2023
M-EMBER: Tackling Long-Horizon Mobile Manipulation via Factorized Domain Transfer Bohan Wu Roberto Martin-Martin Li Fei-Fei 82 12 0 23 May 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma Ahmed M. Ahmed Rehaan Ahmad Chelsea Finn SSL 130 18 0 02 Mar 2023
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning Annie Xie Fahim Tajwar Archit Sharma Chelsea Finn 89 15 0 19 Oct 2022
Throwing Objects into A Moving Basket While Avoiding Obstacles Hamidreza Kasaei Mohammadreza Kasaei 59 7 0 02 Oct 2022
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot Yandong Ji Zhongyu Li Yinan Sun Xue Bin Peng Sergey Levine Glen Berseth Koushil Sreenath 85 67 0 01 Aug 2022
Back to the Manifold: Recovering from Out-of-Distribution States Alfredo Reichlin Giovanni Luca Marchetti Hang Yin Ali Ghadirzadeh Danica Kragic OffRL 67 12 0 18 Jul 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning Yuanpei Chen Tianhao Wu Shengjie Wang Xidong Feng Jiechuan Jiang ... Yiran Geng Hao Dong Zongqing Lu Song-Chun Zhu Yaodong Yang OffRL 121 116 0 17 Jun 2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models Ali Ghadirzadeh Petra Poklukar Karol Arndt Chelsea Finn Ville Kyrki Danica Kragic Mårten Björkman OffRL 59 2 0 18 Apr 2022
Latent-Variable Advantage-Weighted Policy Optimization for Offline RL Xi Chen Ali Ghadirzadeh Tianhe Yu Yuan Gao Jianhao Wang Wenzhe Li Bin Liang Chelsea Finn Chongjie Zhang OffRL 83 14 0 16 Mar 2022
DROPO: Sim-to-Real Transfer with Offline Domain Randomization Gabriele Tiboni Karol Arndt Ville Kyrki 61 28 0 20 Jan 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 108 26 0 17 Dec 2021
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf 68 1 0 10 Dec 2021
A Simple Approach to Continual Learning by Transferring Skill Parameters K.R. Zentner Ryan Julian Ujjwal Puri Yulun Zhang Gaurav Sukhatme CLL 66 3 0 19 Oct 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 158 24 0 21 Sep 2021
SORNet: Spatial Object-Centric Representations for Sequential Manipulation Wentao Yuan Chris Paxton Karthik Desingh Dieter Fox 3DPC 223 72 0 08 Sep 2021
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation Charles Sun Jkedrzej Orbik Coline Devin Brian Yang Abhishek Gupta Glen Berseth Sergey Levine SSL 87 56 0 28 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 93 30 0 27 Jul 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf BDL OffRL 76 35 0 21 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 106 16 0 12 Jul 2021
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation Stephen James Andrew J. Davison 85 129 0 31 May 2021
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention Abhishek Gupta Justin Yu Tony Zhao Vikash Kumar Aaron Rovinsky Kelvin Xu Thomas Devlin Sergey Levine OffRL 133 98 0 22 Apr 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 95 41 0 05 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 158 535 0 04 Feb 2021
Offline Reinforcement Learning from Images with Latent Space Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn OffRL 86 129 0 21 Dec 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh Huihan Liu G. Zhou Albert Yu Nicholas Rhinehart Sergey Levine OffRL OnRL 81 144 0 19 Nov 2020
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal Baichuan Huang Shuai D. Han Abdeslam Boularias Jingjin Yu AI4CE 96 61 0 09 Nov 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 104 35 0 26 Oct 2020
Few-shot model-based adaptation in noisy conditions Karol Arndt Ali Ghadirzadeh Murtaza Hazara Ville Kyrki 62 8 0 16 Oct 2020
Data-efficient visuomotor policy training using reinforcement learning and generative models Ali Ghadirzadeh Petra Poklukar Ville Kyrki Danica Kragic Mårten Björkman OffRL 103 9 0 26 Jul 2020
Human-centered collaborative robots with deep reinforcement learning Ali Ghadirzadeh Xi Chen Wenjie Yin Zhengrong Yi Mårten Björkman Danica Kragic 63 68 0 02 Jul 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian Benjamin Swanson Gaurav Sukhatme Sergey Levine Chelsea Finn Karol Hausman OnRL CLL 85 43 0 21 Apr 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata Dieter Fox 200 46 0 08 Mar 2020
RoboNet: Large-Scale Multi-Robot Learning Sudeep Dasari F. Ebert Stephen Tian Suraj Nair Bernadette Bucher Karl Schmeckpeper Siddharth Singh Sergey Levine Chelsea Finn LM&Ro 107 304 0 24 Oct 2019
Imitating by generating: deep generative models for imitation of interactive tasks Judith Butepage Ali Ghadirzadeh Özge Öztimur Karadag Mårten Björkman Danica Kragic 77 29 0 14 Oct 2019
C-3PO: Cyclic-Three-Phase Optimization for Human-Robot Motion Retargeting based on Reinforcement Learning Taewoo Kim Joo-Haeng Lee 54 13 0 25 Sep 2019
Adversarial Feature Training for Generalizable Robotic Visuomotor Control Xi Chen Ali Ghadirzadeh Mårten Björkman Patric Jensfelt 72 13 0 17 Sep 2019
Meta Reinforcement Learning for Sim-to-real Domain Adaptation Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 173 106 0 16 Sep 2019
Self-Supervised Correspondence in Visuomotor Policy Learning Peter R. Florence Lucas Manuelli Russ Tedrake SSL 94 164 0 16 Sep 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation Suraj Nair Chelsea Finn VGen 89 138 0 12 Sep 2019
Let's Push Things Forward: A Survey on Robot Pushing Jochen Stüber Claudio Zito Rustam Stolkin AI4CE 80 99 0 13 May 2019
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics Andy Zeng Shuran Song Johnny Lee Alberto Rodriguez Thomas Funkhouser 127 384 0 27 Mar 2019