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End-to-End Training of Deep Visuomotor Policies

2 April 2015

Pieter Abbeel

Papers citing "End-to-End Training of Deep Visuomotor Policies"

50 / 1,175 papers shown

Title
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 134 37 0 19 Mar 2020
Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning Guilherme J. Maeda Joni Väätäinen Hironori Yoshida 71 2 0 16 Mar 2020
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey Rentao Gu Zeyuan Yang Yuefeng Ji 67 115 0 11 Mar 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
Natural Language Processing Advancements By Deep Learning: A Survey A. Torfi Rouzbeh A. Shirvani Yaser Keneshloo Nader Tavvaf Edward A. Fox AI4CE VLM 163 222 0 02 Mar 2020
Formal Controller Synthesis for Continuous-Space MDPs via Model-Free Reinforcement Learning Abolfazl Lavaei Fabio Somenzi Sadegh Soudjani Ashutosh Trivedi Majid Zamani 134 53 0 02 Mar 2020
Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots C. C. Beltran-Hernandez Damien Petit I. Ramirez-Alpizar T. Nishi S. Kikuchi Takamitsu Matsubara Kensuke Harada 60 2 0 02 Mar 2020
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies Sampo Kuutti Saber Fallah Richard Bowden AAML 67 49 0 27 Feb 2020
Autonomous robotic nanofabrication with reinforcement learning Philipp Leinen Malte Esders Kristof T. Schütt C. Wagner K. Müller F. Tautz 39 55 0 27 Feb 2020
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs Edouard Leurent D. Efimov Odalric-Ambrym Maillard 50 3 0 25 Feb 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations Xiao Ma Peter Karkus David Hsu W. Lee N. Ye OffRL 51 43 0 23 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 107 174 0 20 Feb 2020
Optimistic Policy Optimization with Bandit Feedback Yonathan Efroni Lior Shani Aviv A. Rosenberg Shie Mannor 80 90 0 19 Feb 2020
Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization M. Kaspar J. D. M. Osorio J. Bock 88 100 0 19 Feb 2020
REST: Performance Improvement of a Black Box Model via RL-based Spatial Transformation Jae Myung Kim Hyungjin Kim Chanwoo Park Jungwook Lee OOD 36 0 0 16 Feb 2020
Quantum Bandits Balthazar Casalé G. Di Molfetta Hachem Kadri L. Ralaivola 64 26 0 15 Feb 2020
Learning Pregrasp Manipulation of Objects from Ungraspable Poses Zhaole Sun Kai Yuan Wenbin Hu Chuanyu Yang Zhibin Li SSL 81 29 0 15 Feb 2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics Parameswaran Kamalaruban Yu-ting Huang Ya-Ping Hsieh Paul Rolland C. Shi Volkan Cevher 103 61 0 14 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 78 25 0 14 Feb 2020
Intrinsic Motivation for Encouraging Synergistic Behavior Rohan Chitnis Shubham Tulsiani Saurabh Gupta Abhinav Gupta 50 28 0 12 Feb 2020
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 75 35 0 10 Feb 2020
Discrete Action On-Policy Learning with Action-Value Critic Yuguang Yue Yunhao Tang Mingzhang Yin Mingyuan Yin OffRL 78 5 0 10 Feb 2020
Autonomous quadrotor obstacle avoidance based on dueling double deep recurrent Q-learning with monocular vision Jiajun Ou Xiao Guo Ming Zhu Wenjie Lou 56 32 0 10 Feb 2020
Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP) Zhimin Hou Kuangen Zhang Yi Wan Dongyu Li Chenglong Fu Haoyong Yu 103 15 0 07 Feb 2020
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning Sha Luo Hamidreza Kasaei Lambert Schomaker CLL 92 46 0 07 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 147 137 0 27 Jan 2020
Constrained Upper Confidence Reinforcement Learning Liyuan Zheng Lillian J. Ratliff 98 68 0 26 Jan 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li Masayoshi Tomizuka 153 246 0 23 Jan 2020
Local Policy Optimization for Trajectory-Centric Reinforcement Learning Patrik Kolaric Devesh K. Jha A. Raghunathan F. Lewis M. Benosman Diego Romeres D. Nikovski 71 10 0 22 Jan 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 200 1,238 0 19 Jan 2020
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback Baicen Xiao Qifan Lu Bhaskar Ramasubramanian Andrew Clark L. Bushnell Radha Poovendran 78 25 0 19 Jan 2020
Parameterized and GPU-Parallelized Real-Time Model Predictive Control for High Degree of Freedom Robots Phillip Hyatt Connor S. Williams Marc D. Killpack 36 13 0 14 Jan 2020
Population-Guided Parallel Policy Search for Reinforcement Learning Whiyoung Jung Giseung Park Y. Sung OffRL 72 38 0 09 Jan 2020
Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC Keuntaek Lee Jason Gibson Evangelos A. Theodorou 76 31 0 07 Jan 2020
A Boolean Task Algebra for Reinforcement Learning Geraud Nangue Tasse Steven D. James Benjamin Rosman 98 55 0 06 Jan 2020
Universal Successor Features for Transfer Reinforcement Learning Chen Ma Dylan R. Ashley Junfeng Wen Yoshua Bengio OffRL 58 26 0 05 Jan 2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation Letian Chen Rohan R. Paleja Muyleng Ghuy Matthew C. Gombolay 119 39 0 02 Jan 2020
Reinforcement Learning with Goal-Distance Gradient Kai Jiang X. Qin 31 0 0 01 Jan 2020
Reward-Conditioned Policies Aviral Kumar Xue Bin Peng Sergey Levine 74 96 0 31 Dec 2019
End-to-End Pixel-Based Deep Active Inference for Body Perception and Action Cansu Sancaktar Marcel van Gerven Pablo Lanillos 81 55 0 28 Dec 2019
Quasi-Newton Trust Region Policy Optimization Devesh K. Jha A. Raghunathan Diego Romeres 64 9 0 26 Dec 2019
Learning to Navigate Using Mid-Level Visual Priors Alexander Sax Jeffrey O. Zhang Bradley Emi Amir Zamir Silvio Savarese Leonidas Guibas Jitendra Malik SSL 96 59 0 23 Dec 2019
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning R. Li Allan Jabri Trevor Darrell Pulkit Agrawal OffRL 88 112 0 23 Dec 2019
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 135 528 0 23 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 89 28 0 18 Dec 2019
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments Glen Berseth Daniel Geng Coline Devin Nicholas Rhinehart Chelsea Finn Dinesh Jayaraman Sergey Levine 103 22 0 11 Dec 2019
Goal-Conditioned Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes Takayuki Osa Shuhei Ikemoto DRL 48 3 0 09 Dec 2019
Reorienting Objects in 3D Space Using Pivoting Yifan Hou Zhenzhong Jia M. T. Mason 63 11 0 05 Dec 2019
Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning: A Field Experiment Jiaxi Liu Yidong Zhang Xiaoqing Wang Yuming Deng Xingyu Wu 120 32 0 05 Dec 2019
Transferable Force-Torque Dynamics Model for Peg-in-hole Task Junfeng Ding Chen Wang Cewu Lu 51 18 0 30 Nov 2019