Learning from Trajectories via Subgoal Discovery

3 November 2019

Papers citing "Learning from Trajectories via Subgoal Discovery"

24 / 24 papers shown

Title
Trajectory-based Learning for Ball-in-Maze Games S. Paul J. Baar 39 1 0 28 Nov 2018
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics J. Baar Alan Sullivan Radu Cordorel Devesh K. Jha Diego Romeres D. Nikovski 77 57 0 13 Sep 2018
W-TALC: Weakly-supervised Temporal Activity Localization and Classification S. Paul Sourya Roy Amit K. Roy-Chowdhury 77 309 0 27 Jul 2018
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning Wen Sun J. Andrew Bagnell Byron Boots 106 94 0 29 May 2018
Fast Policy Learning through Imitation and Reinforcement Ching-An Cheng Xinyan Yan Nolan Wagener Byron Boots 58 84 0 26 May 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 110 722 0 04 May 2018
Investigating Human Priors for Playing Video Games Rachit Dubey Pulkit Agrawal Deepak Pathak Thomas Griffiths Alexei A. Efros OffRL 89 146 0 28 Feb 2018
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 133 1,094 0 28 Sep 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 91 973 0 08 Aug 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 102 513 0 17 May 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 78 361 0 10 Apr 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction Wen Sun Arun Venkatraman Geoffrey J. Gordon Byron Boots J. Andrew Bagnell 121 235 0 03 Mar 2017
Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas Dan Klein Sergey Levine OffRL 136 460 0 06 Nov 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 62 1,086 0 16 Sep 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 91 4,167 0 25 Apr 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 79 1,693 0 22 Apr 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,850 0 04 Feb 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 84 3,406 0 08 Jun 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 292 3,434 0 02 Apr 2015
Learning to Search Better Than Your Teacher Kai-Wei Chang A. Krishnamurthy Alekh Agarwal Hal Daumé John Langford OffRL 44 231 0 08 Feb 2015
Reinforcement and Imitation Learning via Interactive No-Regret Learning Stéphane Ross J. Andrew Bagnell OffRL 138 264 0 23 Jun 2014
Interactive Policy Learning through Confidence-Based Autonomy Sonia Chernova Manuela Veloso 164 281 0 15 Jan 2014
Compositional Planning Using Optimal Option Models David Silver K. Ciosek 85 74 0 27 Jun 2012
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 212 3,215 0 02 Nov 2010