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"

21 / 221 papers shown

Title
One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn Tianhe Yu Tianhao Zhang Pieter Abbeel Sergey Levine SSL 47 555 0 14 Sep 2017
Visual Forecasting by Imitating Dynamics in Natural Sequences Kuo-Hao Zeng Bokui (William) Shen De-An Huang Min Sun Juan Carlos Niebles AI4TS 33 61 0 19 Aug 2017
RAIL: Risk-Averse Imitation Learning Anirban Santara A. Naik Balaraman Ravindran Dipankar Das Dheevatsa Mudigere Sasikanth Avancha Bharat Kaul 30 18 0 20 Jul 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation YuXuan Liu Abhishek Gupta Pieter Abbeel Sergey Levine 53 375 0 11 Jul 2017
Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning Daniel S. Brown S. Niekum BDL OffRL 30 42 0 03 Jul 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 63 3,130 0 12 Jun 2017
Shared Autonomy via Hindsight Optimization for Teleoperation and Teaming Shervin Javdani H. Admoni Stefania Pellegrinelli S. Srinivasa J. Andrew Bagnell 21 207 0 01 Jun 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Karol Hausman Yevgen Chebotar S. Schaal Gaurav Sukhatme Joseph J. Lim GAN 30 147 0 30 May 2017
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee Wongun Choi Paul Vernaza Chris Choy Philip Torr Manmohan Chandraker AI4TS 56 986 0 14 Apr 2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation I. Popov N. Heess Timothy Lillicrap Roland Hafner Gabriel Barth-Maron Matej Vecerík Thomas Lampe Yuval Tassa Tom Erez Martin Riedmiller OffRL 31 263 0 10 Apr 2017
What Would You Do? Acting by Learning to Predict Adam W. Tow Niko Sünderhauf S. Shirazi Michael Milford Jurgen Leitner LM&Ro 30 6 0 08 Mar 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction Wen Sun Arun Venkatraman Geoffrey J. Gordon Byron Boots J. Andrew Bagnell 35 232 0 03 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 106 1,505 0 25 Jan 2017
Unsupervised Perceptual Rewards for Imitation Learning P. Sermanet Kelvin Xu Sergey Levine SSL 34 156 0 20 Dec 2016
Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn Tianhe Yu Justin Fu Pieter Abbeel Sergey Levine OffRL SSL 35 68 0 01 Dec 2016
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models Chelsea Finn Paul Christiano Pieter Abbeel Sergey Levine OffRL AI4CE GAN 30 350 0 11 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 29 11 0 01 Nov 2016
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model Paul Christiano Zain Shah Igor Mordatch Jonas Schneider T. Blackwell Joshua Tobin Pieter Abbeel Wojciech Zaremba PINN 32 248 0 11 Oct 2016
Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments Markus Wulfmeier Dominic Zeng Wang Ingmar Posner 30 114 0 08 Jul 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 83 2,324 0 21 Jun 2016
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines C. Duong Khoa Luu Kha Gia Quach Tien D. Bui CVBM 43 44 0 07 Jun 2016