Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

3 October 2016

Papers citing "Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates"

50 / 231 papers shown

Title
Optimal Stroke Learning with Policy Gradient Approach for Robotic Table Tennis Yapeng Gao Jonas Tebbe A. Zell OffRL 26 14 0 07 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning Jiaqi Xu Bin Li Bo Lu Yunhui Liu Qi Dou Pheng-Ann Heng 29 74 0 30 Aug 2021
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces Ziyad Sheebaelhamd Konstantinos Zisis Athina Nisioti Dimitris Gkouletsos Dario Pavllo Jonas Köhler AI4CE 27 16 0 09 Aug 2021
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning Pratik Ramprasad Yuantong Li Zhuoran Yang Zhaoran Wang W. Sun Guang Cheng OffRL 50 27 0 08 Aug 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 27 27 0 27 Jul 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 30 5 0 09 Jul 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning Di Wu R. Ullah P. Harvey Peter Kilpatrick I. Spence Blesson Varghese 42 79 0 09 Jul 2021
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels Nader Zare Bruno Brandoli Mahtab Sarvmaili Amilcar Soares Stan Matwin 19 8 0 27 Jun 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 32 71 0 25 Jun 2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation Zaiwei Chen S. Khodadadian S. T. Maguluri OffRL 68 29 0 26 May 2021
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education Robin Henry D. Ernst 22 11 0 18 May 2021
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation Niklas Funk Charles B. Schaff Rishabh Madan Takuma Yoneda Julen Urain De Jesus ... Stefan Bauer S. Srinivasa Tapomayukh Bhattacharjee Matthew R. Walter Jan Peters 32 35 0 05 May 2021
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning Alessandro Paolo Capasso Paolo Maramotti Anthony DellÉva A. Broggi 73 18 0 28 Apr 2021
Benchmarks for Deep Off-Policy Evaluation Justin Fu Mohammad Norouzi Ofir Nachum George Tucker Ziyun Wang ... Yutian Chen Aviral Kumar Cosmin Paduraru Sergey Levine T. Paine ELM OffRL 35 100 0 30 Mar 2021
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning A. S. Morgan Daljeet Nandha Georgia Chalvatzaki Carlo DÉramo A. Dollar Jan Peters 48 43 0 25 Mar 2021
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems Robin Henry D. Ernst 27 34 0 14 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments F. Memarian Wonjoon Goo Rudolf Lioutikov S. Niekum Ufuk Topcu OffRL 36 48 0 08 Mar 2021
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors Jonas C. Kiemel Torsten Kröger 19 8 0 05 Mar 2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization Jyun-Li Lin Wei-Ting Hung Shangtong Yang Ping-Chun Hsieh Xi Liu 32 14 0 22 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 31 14 0 18 Feb 2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm S. Khodadadian Zaiwei Chen S. T. Maguluri CML OffRL 74 26 0 18 Feb 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 22 145 0 16 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 53 143 0 08 Feb 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 38 28 0 08 Feb 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 16 520 0 04 Feb 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 82 76 0 13 Jan 2021
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions Jui-Te Huang Chen-Lung Lu Po-Kai Chang Ching-I Huang Chao-Chun Hsu Zu Lin Ewe Po-Jui Huang Hsueh-Cheng Wang 52 19 0 10 Jan 2021
Imitation Learning for High Precision Peg-in-Hole Tasks S. Gubbi Shishir Kolathaya B. Amrutur 37 21 0 26 Dec 2020
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach Jin Wang Jia Hu Geyong Min Qiang Ni Tarek A. El-Ghazawi 26 28 0 16 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,386 0 14 Dec 2020
Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles Yihao Zhang Zhaojie Chai G. Lykotrafitis 26 29 0 30 Nov 2020
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models Nan Wu Pengcheng Li 19 7 0 13 Nov 2020
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning Jun Jin D. Graves Cameron Haigh Jun Luo Martin Jägersand SSL OffRL 27 6 0 11 Nov 2020
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks Pierre Aumjaud David McAuliffe Francisco J. Rodríguez-Lera P. Cardiff 19 15 0 11 Nov 2020
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships Xiaobai Ma Jiachen Li Mykel J. Kochenderfer David Isele K. Fujimura 21 61 0 09 Nov 2020
Learning Robot Trajectories subject to Kinematic Joint Constraints Jonas C. Kiemel Torsten Kröger 25 7 0 01 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 16 90 0 27 Oct 2020
Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification Davide Corsi Enrico Marchesini Alessandro Farinelli OffRL 14 2 0 19 Oct 2020
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling Xin Ye Yezhou Yang 29 14 0 16 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning Jinhua Zhu Yingce Xia Lijun Wu Jiajun Deng Wen-gang Zhou Tao Qin Houqiang Li SSL OffRL 34 55 0 15 Oct 2020
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control Afshin Oroojlooy M. Nazari Davood Hajinezhad Jorge Silva 21 84 0 12 Oct 2020
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward U. Yavas T. Kumbasar N. K. Üre 11 19 0 24 Sep 2020
Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces Wenshuai Zhao Jorge Peña Queralta Qingqing Li Tomi Westerlund 4 6 0 18 Aug 2020
Data-efficient visuomotor policy training using reinforcement learning and generative models Ali Ghadirzadeh Petra Poklukar Ville Kyrki Danica Kragic Mårten Björkman OffRL 46 9 0 26 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
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots M. Lucchi Friedemann Zindler Stephan Mühlbacher-Karrer Horst Pichler OffRL 30 29 0 06 Jul 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 30 50 0 29 Jun 2020
Learning to Play Table Tennis From Scratch using Muscular Robots Le Chen Simon Guist Roberto Calandra V. Berenz Bernhard Schölkopf Jan Peters 17 88 0 10 Jun 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 33 10 0 25 May 2020