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Automatic Curricula via Expert Demonstrations

16 June 2021

Papers citing "Automatic Curricula via Expert Demonstrations"

31 / 31 papers shown

Title
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 63 34 0 10 Nov 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards Siyu Dai Wenyuan Xu Andreas G. Hofmann B. Williams 57 8 0 15 Oct 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 43 93 0 22 Jun 2020
Curiosity-Driven Multi-Criteria Hindsight Experience Replay John Lanier Stephen Marcus McAleer Pierre Baldi OffRL 56 25 0 09 Jun 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions Rui Wang Joel Lehman Jeff Clune Kenneth O. Stanley 92 249 0 07 Jan 2019
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 110 139 0 08 Dec 2018
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst Mayank Bansal A. Krizhevsky A. Ogale OOD 86 739 0 07 Dec 2018
Deep Object-Centric Policies for Autonomous Driving Dequan Wang Coline Devin Qi-Zhi Cai Feng Yu Trevor Darrell OCL 55 101 0 13 Nov 2018
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow Xue Bin Peng Angjoo Kanazawa Sam Toyer Pieter Abbeel Sergey Levine 73 216 0 01 Oct 2018
Backplay: "Man muss immer umkehren" Cinjon Resnick R. Raileanu Sanyam Kapoor Alex Peysakhovich Kyunghyun Cho Joan Bruna OffRL 62 45 0 18 Jul 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning Boris Ivanovic James Harrison Apoorva Sharma Mo Chen Marco Pavone OffRL 77 57 0 16 Jun 2018
Latent Space Policies for Hierarchical Reinforcement Learning Tuomas Haarnoja Kristian Hartikainen Pieter Abbeel Sergey Levine BDL 74 193 0 09 Apr 2018
Learning to Navigate in Cities Without a Map Piotr Wojciech Mirowski Matthew Koichi Grimes Mateusz Malinowski Karl Moritz Hermann Keith Anderson Denis Teplyashin Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell SSL HAI 95 319 0 31 Mar 2018
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Benjamin Eysenbach S. Gu Julian Ibarz Sergey Levine CLL 66 139 0 18 Nov 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 129 756 0 30 Oct 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations Ashvin Nair Bob McGrew Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel OffRL 92 788 0 28 Sep 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot N. Heess Thomas Rothörl Thomas Lampe Martin Riedmiller OffRL 80 667 0 27 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,065 0 20 Jul 2017
Reverse Curriculum Generation for Reinforcement Learning Carlos Florensa David Held Markus Wulfmeier Michael Zhang Pieter Abbeel 74 444 0 17 Jul 2017
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration Rouhollah Rahmatizadeh P. Abolghasemi Ladislau Bölöni Sergey Levine 100 258 0 10 Jul 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 262 2,328 0 05 Jul 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 107 515 0 17 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 113 2,439 0 15 May 2017
Automated Curriculum Learning for Neural Networks Alex Graves Marc G. Bellemare Jacob Menick Rémi Munos Koray Kavukcuoglu 77 525 0 10 Apr 2017
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play Sainbayar Sukhbaatar Zeming Lin Ilya Kostrikov Gabriel Synnaeve Arthur Szlam Rob Fergus SSL 67 337 0 15 Mar 2017
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 64 1,087 0 16 Sep 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 154 3,115 0 10 Jun 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 108 949 0 01 Mar 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,248 0 09 Sep 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 315 3,437 0 02 Apr 2015
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 231 3,221 0 02 Nov 2010