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 / 378 papers shown

Title
Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing X. Tan Zhikang Liu Chenxiao Yu A. Rosendo 22 0 0 15 Nov 2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning Jinning Li Chen Tang Masayoshi Tomizuka Wei Zhan OffRL 19 21 0 09 Nov 2021
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale Yao Lu Karol Hausman Yevgen Chebotar Mengyuan Yan Eric Jang ... Ted Xiao A. Irpan Mohi Khansari Dmitry Kalashnikov Sergey Levine OffRL 95 59 0 09 Nov 2021
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods Seohong Park Jaekyeom Kim Gunhee Kim 38 23 0 06 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 45 93 0 04 Nov 2021
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning Sindre Benjamin Remman Inga Strümke A. Lekkas CML 17 7 0 04 Nov 2021
Equivariant $Q$ Learning in Spatial Action Spaces Dian Wang Robin Walters Xu Zhu Robert W. Platt 27 73 0 28 Oct 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 42 90 0 28 Oct 2021
D2RLIR : an improved and diversified ranking function in interactive recommendation systems based on deep reinforcement learning Vahid Baghi Seyed Mohammad Seyed Motehayeri A. Moeini R. Abedian 18 1 0 28 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Tung M. Luu Chang D. Yoo 23 8 0 28 Oct 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 22 58 0 26 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning Kibeom Kim Min Whoo Lee Yoonsung Kim Je-hwan Ryu Minsu Lee Byoung-Tak Zhang 24 8 0 25 Oct 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information Jin Li Xianyuan Zhan Zixu Xiao Guyue Zhou OffRL OnRL 29 2 0 21 Oct 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 33 23 0 19 Oct 2021
Continuous-Time Fitted Value Iteration for Robust Policies M. Lutter Boris Belousov Shie Mannor Dieter Fox Animesh Garg Jan Peters 10 9 0 05 Oct 2021
On the Estimation Bias in Double Q-Learning Zhizhou Ren Guangxiang Zhu Haotian Hu Beining Han Jian-Hai Chen Chongjie Zhang 24 17 0 29 Sep 2021
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning Hao-Lun Hsu Qiuhua Huang Sehoon Ha OffRL 42 11 0 29 Sep 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Simulation-based Bayesian inference for multi-fingered robotic grasping Norman Marlier O. Bruls Gilles Louppe 35 6 0 29 Sep 2021
Lyapunov-stable neural-network control Hongkai Dai Benoit Landry Lujie Yang Marco Pavone Russ Tedrake 26 119 0 29 Sep 2021
Learning Periodic Tasks from Human Demonstrations Jingyun Yang Junwu Zhang Connor Settle Akshara Rai Rika Antonova Jeannette Bohg 104 24 0 28 Sep 2021
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets F. Ebert Yanlai Yang Karl Schmeckpeper Bernadette Bucher G. Georgakis Kostas Daniilidis Chelsea Finn Sergey Levine 169 223 0 27 Sep 2021
CLIPort: What and Where Pathways for Robotic Manipulation Mohit Shridhar Lucas Manuelli Dieter Fox LM&Ro 65 633 0 24 Sep 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 143 85 0 22 Sep 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 45 24 0 21 Sep 2021
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning Peide Cai Sukai Wang Hengli Wang Ming Liu AI4TS 24 15 0 17 Sep 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning Ryan Hoque Ashwin Balakrishna Ellen R. Novoseller Albert Wilcox Daniel S. Brown Ken Goldberg 35 84 0 17 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 35 77 0 16 Sep 2021
Multi-Task Learning with Sequence-Conditioned Transporter Networks M. H. Lim Andy Zeng Brian Ichter Maryam Bandari Erwin Coumans Claire Tomlin S. Schaal Aleksandra Faust 37 14 0 15 Sep 2021
Optimal Stroke Learning with Policy Gradient Approach for Robotic Table Tennis Yapeng Gao Jonas Tebbe A. Zell OffRL 23 14 0 07 Sep 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 77 372 0 01 Sep 2021
Investigating Vulnerabilities of Deep Neural Policies Ezgi Korkmaz AAML 24 33 0 30 Aug 2021
Optimal Actor-Critic Policy with Optimized Training Datasets C. Banerjee Zhiyong Chen N. Noman M. Zamani OffRL 33 7 0 16 Aug 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration Chen Wang Claudia Pérez-DÁrpino Danfei Xu Li Fei-Fei Chenxi Liu Silvio Savarese 42 33 0 13 Aug 2021
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback Xiaofei Wang Kimin Lee Kourosh Hakhamaneshi Pieter Abbeel Michael Laskin 34 42 0 11 Aug 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations Tongzhou Mu Z. Ling Fanbo Xiang Derek Yang Xuanlin Li Stone Tao Zhiao Huang Zhiwei Jia Hao Su 44 132 0 30 Jul 2021
Lyapunov-based uncertainty-aware safe reinforcement learning Ashkan B. Jeddi Nariman L. Dehghani A. Shafieezadeh 16 7 0 29 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 27 27 0 27 Jul 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang Jenna Wiens OffRL 26 78 0 23 Jul 2021
Playful Interactions for Representation Learning Sarah Young Jyothish Pari Pieter Abbeel Lerrel Pinto SSL 49 14 0 19 Jul 2021
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences Alan Chan Hugo Silva Sungsu Lim Tadashi Kozuno A. R. Mahmood Martha White 25 29 0 17 Jul 2021
Model-free Reinforcement Learning for Robust Locomotion using Demonstrations from Trajectory Optimization Miroslav Bogdanovic Majid Khadiv Ludovic Righetti 117 30 0 14 Jul 2021
Hierarchical Neural Dynamic Policies Shikhar Bahl Abhinav Gupta Deepak Pathak BDL 33 27 0 12 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 29 11 0 10 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 36 112 0 07 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 21 27 0 04 Jul 2021
Learning to See before Learning to Act: Visual Pre-training for Manipulation Yen-Chen Lin Andy Zeng Shuran Song Phillip Isola Nayeon Lee SSL 19 87 0 01 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 44 135 0 01 Jul 2021
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo Thomas Kollar Michael Laskey Kevin Stone Brijen Thananjeyan Mark Tjersland 48 25 0 30 Jun 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang G. Kahn Sergey Levine 37 5 0 24 Jun 2021