Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization

1 March 2016

Pieter Abbeel

Papers citing "Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization"

50 / 221 papers shown

Title
VILD: Variational Imitation Learning with Diverse-quality Demonstrations Voot Tangkaratt Bo Han Mohammad Emtiyaz Khan Masashi Sugiyama 25 20 0 15 Sep 2019
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics Saurabh Daptardar Paul Schrater Xaq Pitkow 17 38 0 13 Aug 2019
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization Sumeet Singh Spencer M. Richards Vikas Sindhwani Jean-Jacques E. Slotine Marco Pavone 40 74 0 29 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 41 356 0 06 Jul 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 35 20 0 03 Jul 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 34 219 0 13 Jun 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric Xing Sergey Levine Ruslan Salakhutdinov 35 242 0 12 Jun 2019
Recent Advances in Imitation Learning from Observation F. Torabi Garrett A. Warnell Peter Stone 23 163 0 30 May 2019
Adversarial Imitation Learning from Incomplete Demonstrations Mingfei Sun Xiaojuan Ma 24 28 0 29 May 2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning Parameswaran Kamalaruban R. Devidze V. Cevher Adish Singla 27 64 0 28 May 2019
Bayesian Gaussian mixture model for robotic policy imitation Emmanuel Pignat Sylvain Calinon 31 46 0 24 Apr 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 46 266 0 16 Apr 2019
Multi-Preference Actor Critic Ishan Durugkar Matthew J. Hausknecht Adith Swaminathan Patrick MacAlpine 19 1 0 05 Apr 2019
Inverse Optimal Planning for Air Traffic Control Ekaterina V. Tolstaya Alejandro Ribeiro Vijay Kumar Ashish Kapoor 19 4 0 25 Mar 2019
Hindsight Generative Adversarial Imitation Learning N. Liu Tao Lu Yinghao Cai Boyao Li Shuo Wang 27 6 0 19 Mar 2019
Deep Reinforcement Learning from Policy-Dependent Human Feedback Dilip Arumugam Jun Ki Lee S. Saskin Michael L. Littman 28 94 0 12 Feb 2019
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning Ziming Li Julia Kiseleva Maarten de Rijke 25 51 0 09 Dec 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 397 0 19 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 48 830 0 16 Nov 2018
Concept Learning with Energy-Based Models William J. Wilkinson 30 25 0 06 Nov 2018
Supervising strong learners by amplifying weak experts Paul Christiano Buck Shlegeris Dario Amodei 27 114 0 19 Oct 2018
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories Yanfu Zhang Wenshan Wang Rogerio Bonatti Daniel Maturana Sebastian Scherer 19 42 0 16 Oct 2018
Hierarchical Game-Theoretic Planning for Autonomous Vehicles J. F. Fisac Eli Bronstein Elis Stefansson Dorsa Sadigh S. Shankar Sastry Anca Dragan 20 226 0 13 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 38 135 0 08 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 40 71 0 30 Sep 2018
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach Jun Jin Laura Petrich Masood Dehghan Zichen Zhang Martin Jägersand 36 13 0 29 Sep 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 22 61 0 17 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 41 256 0 09 Sep 2018
Risk-Sensitive Generative Adversarial Imitation Learning Jonathan Lacotte Mohammad Ghavamzadeh Yinlam Chow Marco Pavone GAN 27 24 0 13 Aug 2018
Multi-Agent Generative Adversarial Imitation Learning Jiaming Song Hongyu Ren Dorsa Sadigh Stefano Ermon GAN 27 216 0 26 Jul 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 37 598 0 18 Jun 2018
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions J. F. Fisac Andrea V. Bajcsy Sylvia Herbert David Fridovich-Keil Steven H. Wang Claire Tomlin Anca Dragan 11 127 0 31 May 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 29 65 0 25 May 2018
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning Jing-Cheng Shi Yang Yu Qing Da Shi-Yong Chen Anxiang Zeng OffRL 36 185 0 25 May 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning Adam Gleave Oliver Habryka 32 39 0 22 May 2018
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations Jonathan Tremblay Thang To Artem Molchanov Stephen Tyree Jan Kautz Stan Birchfield 27 36 0 18 May 2018
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning Tharindu Fernando Simon Denman Sridha Sridharan Clinton Fookes GAN 29 26 0 13 May 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 58 710 0 04 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 33 662 0 02 May 2018
Toward Diverse Text Generation with Inverse Reinforcement Learning Zhan Shi Xinchi Chen Xipeng Qiu Xuanjing Huang 14 104 0 30 Apr 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 30 145 0 02 Apr 2018
Learning Robotic Assembly from CAD G. Thomas Melissa Chien Aviv Tamar J. A. Ojea Pieter Abbeel 23 150 0 20 Mar 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills Yuke Zhu Ziyun Wang J. Merel Andrei A. Rusu Tom Erez ... S. Tunyasuvunakool János Kramár R. Hadsell Nando de Freitas N. Heess SSL 34 316 0 26 Feb 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration E. Liu Kelvin Guu Panupong Pasupat Tianlin Shi Percy Liang OnRL 24 207 0 24 Feb 2018
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations Xingyu Wang Diego Klabjan 32 39 0 07 Jan 2018
Data-driven Planning via Imitation Learning Sanjiban Choudhury M. Bhardwaj S. Arora Ashish Kapoor G. Ranade Sebastian Scherer Debadeepta Dey 46 80 0 17 Nov 2017
Learning Deep Mean Field Games for Modeling Large Population Behavior Jiachen Yang X. Ye Rakshit S. Trivedi Huan Xu H. Zha AI4CE 32 33 0 08 Nov 2017
Paraphrase Generation with Deep Reinforcement Learning Zichao Li Xin Jiang Lifeng Shang Hang Li OffRL 27 213 0 01 Nov 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 53 740 0 30 Oct 2017
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks Aditya Gudimella Ross Story M. Shaker Ruofan Kong Matthew A. Brown Victor Shnayder Marcos Campos 34 24 0 20 Sep 2017