Path Integral Guided Policy Search

3 October 2016

Papers citing "Path Integral Guided Policy Search"

20 / 70 papers shown

Title
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 48 471 0 14 Jun 2018
Smooth and Efficient Policy Exploration for Robot Trajectory Learning Shidi Li C. Chew V. Subramaniam 16 3 0 13 Apr 2018
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system Kendall Lowrey S. Kolev Jeremy Dao Aravind Rajeswaran E. Todorov 15 58 0 28 Mar 2018
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods Deirdre Quillen Eric Jang Ofir Nachum Chelsea Finn Julian Ibarz Sergey Levine OOD OffRL 35 202 0 28 Feb 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
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Benjamin Eysenbach S. Gu Julian Ibarz Sergey Levine CLL 37 139 0 18 Nov 2017
Uncertainty Averse Pushing with Model Predictive Path Integral Control Ermano Arruda Michael J. Mathew Marek Kopicki Michael N. Mistry M. Azad J. Wyatt 14 41 0 11 Oct 2017
A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks Xiao Li Yao Ma C. Belta 24 59 0 27 Sep 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 92 2,297 0 05 Jul 2017
Path Integral Networks: End-to-End Differentiable Optimal Control Masashi Okada Luca Rigazio T. Aoshima PINN 21 56 0 29 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
Time-Contrastive Networks: Self-Supervised Learning from Video P. Sermanet Corey Lynch Yevgen Chebotar Jasmine Hsu Eric Jang S. Schaal Sergey Levine SSL 41 814 0 23 Apr 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning Yevgen Chebotar Karol Hausman Marvin Zhang Gaurav Sukhatme S. Schaal Sergey Levine 34 159 0 08 Mar 2017
Deep Predictive Policy Training using Reinforcement Learning Ali Ghadirzadeh A. Maki Danica Kragic Mårten Björkman 28 128 0 02 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,505 0 25 Jan 2017
Unsupervised Perceptual Rewards for Imitation Learning P. Sermanet Kelvin Xu Sergey Levine SSL 21 156 0 20 Dec 2016
Reinforcement Learning With Temporal Logic Rewards Xiao Li C. Vasile C. Belta 17 214 0 11 Dec 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 27 11 0 01 Nov 2016
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search Ali Yahya A. Li Mrinal Kalakrishnan Yevgen Chebotar Sergey Levine OffRL 23 155 0 03 Oct 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 19 1,471 0 03 Oct 2016