QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

27 June 2018

Papers citing "QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation"

50 / 321 papers shown

Title
How to Make Deep RL Work in Practice Nirnai Rao Elie Aljalbout Axel Sauer Sami Haddadin OffRL 8 11 0 25 Oct 2020
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models Cédric Colas B. Hejblum S. Rouillon R. Thiébaut Pierre-Yves Oudeyer Clément Moulin-Frier M. Prague 8 22 0 09 Oct 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control Qingrui Zhang Hao Dong Wei Pan 26 6 0 20 Sep 2020
GRAC: Self-Guided and Self-Regularized Actor-Critic Lin Shao Yifan You Mengyuan Yan Qingyun Sun Jeannette Bohg 16 23 0 18 Sep 2020
Learning Dexterous Grasping with Object-Centric Visual Affordances Priyanka Mandikal Kristen Grauman 24 135 0 03 Sep 2020
Grasp-type Recognition Leveraging Object Affordance Naoki Wake Kazuhiro Sasabuchi Katsushi Ikeuchi 20 15 0 26 Aug 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 34 45 0 23 Aug 2020
The Importance and the Limitations of Sim2Real for Robotic Manipulation in Precision Agriculture Carlo Rizzardo S. Katyara Miguel Fernandes Fei Chen 11 6 0 10 Aug 2020
Data-efficient visuomotor policy training using reinforcement learning and generative models Ali Ghadirzadeh Petra Poklukar Ville Kyrki Danica Kragic Mårten Björkman OffRL 39 9 0 26 Jul 2020
Maximum Mutation Reinforcement Learning for Scalable Control Karush Suri Xiaolong Shi Konstantinos N. Plataniotis Y. Lawryshyn 25 4 0 24 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 11 199 0 09 Jul 2020
Robotic Grasping using Deep Reinforcement Learning Shirin Joshi Sulabh Kumra F. Sahin 23 78 0 09 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 41 159 0 08 Jul 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations Alexey Skrynnik A. Staroverov Ermek Aitygulov Kirill Aksenov Vasilii Davydov Aleksandr I. Panov OffRL 16 4 0 17 Jun 2020
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real Kanishka Rao Chris Harris A. Irpan Sergey Levine Julian Ibarz Mohi Khansari 32 182 0 16 Jun 2020
Self-supervised Learning for Precise Pick-and-place without Object Model Lars Berscheid Pascal Meissner Torsten Kröger SSL DRL 24 66 0 15 Jun 2020
Modeling Long-horizon Tasks as Sequential Interaction Landscapes Soren Pirk Karol Hausman Alexander Toshev Mohi Khansari 22 27 0 08 Jun 2020
LyRN (Lyapunov Reaching Network): A Real-Time Closed Loop approach from Monocular Vision Zheyu Zhuang Xin Yu Robert E. Mahony 21 5 0 25 May 2020
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource Scheduling Tegg Taekyong Sung J. Ha Jeewoo Kim Alex Yahja Chae-Bong Sohn Bo Ryu 16 9 0 15 May 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 33 242 0 15 May 2020
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data Mohi Khansari Daniel Kappler Jianlan Luo Jeff Bingham Mrinal Kalakrishnan 22 25 0 13 May 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 22 43 0 21 Apr 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 47 1,304 0 15 Apr 2020
Robotic Table Tennis with Model-Free Reinforcement Learning Wenbo Gao L. Graesser K. Choromanski Xingyou Song N. Lazić Pannag R. Sanketi Vikas Sindhwani Navdeep Jaitly 19 44 0 31 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 31 20 0 29 Mar 2020
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics Aditya Ganapathi Priya Sundaresan Brijen Thananjeyan Ashwin Balakrishna Daniel Seita ... Joseph E. Gonzalez Nawid Jamali K. Yamane Soshi Iba Ken Goldberg 19 27 0 28 Mar 2020
PointNet++ Grasping: Learning An End-to-end Spatial Grasp Generation Algorithm from Sparse Point Clouds Peiyuan Ni Wenguang Zhang Xiaoxiao Zhu Q. Cao 3DPC 24 122 0 21 Mar 2020
Visual Navigation Among Humans with Optimal Control as a Supervisor Varun Tolani Somil Bansal Aleksandra Faust Claire Tomlin 17 39 0 20 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 35 37 0 19 Mar 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty Yongle Luo Kun Dong Lili Zhao Zhiyong Sun Chao Zhou Bo Song 34 13 0 05 Mar 2020
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems Taisuke Kobayashis BDL DRL 6 17 0 04 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 58 63 0 02 Mar 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 48 35 0 25 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 27 169 0 20 Feb 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning Noah Y. Siegel Jost Tobias Springenberg Felix Berkenkamp A. Abdolmaleki Michael Neunert Thomas Lampe Roland Hafner Nicolas Heess Martin Riedmiller OffRL 22 282 0 19 Feb 2020
Q-Learning in enormous action spaces via amortized approximate maximization T. Wiele David Warde-Farley A. Mnih Volodymyr Mnih 21 59 0 22 Jan 2020
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping T. Patten Kiru Park Markus Vincze 21 31 0 15 Jan 2020
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos Laura M. Smith Nikita Dhawan Marvin Zhang Pieter Abbeel Sergey Levine 41 156 0 10 Dec 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 30 219 0 30 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 11 41 0 09 Oct 2019
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping Cristian Bodnar A. Li Karol Hausman P. Pastor Mrinal Kalakrishnan OffRL 20 50 0 01 Oct 2019
RLBench: The Robot Learning Benchmark & Learning Environment Stephen James Z. Ma David Rovick Arrojo Andrew J. Davison SSL VLM OffRL 33 528 0 26 Sep 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots Michael Ahn Henry Zhu Kristian Hartikainen Hugo Ponte Abhishek Gupta Sergey Levine Vikash Kumar 18 126 0 25 Sep 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller Bardienus P. Duisterhof Srivatsan Krishnan Jonathan J. Cruz Colby R. Banbury William Fu Aleksandra Faust Guido de Croon Vijay Janapa Reddi 18 25 0 25 Sep 2019
Recognizing Object Affordances to Support Scene Reasoning for Manipulation Tasks Fu-Jen Chu Ruinian Xu Chao Tang Patricio A. Vela 6 7 0 12 Sep 2019
A Deep Learning Approach to Grasping the Invisible Yang Yang Hengyue Liang Changhyun Choi 22 94 0 11 Sep 2019
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning Bohan Wu Iretiayo Akinola Jacob Varley Peter K. Allen 19 53 0 10 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 17 53 0 25 Aug 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 21 202 0 22 Jul 2019