Learning Calibratable Policies using Programmatic Style-Consistency

2 October 2019

Matthew J. Hausknecht

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Papers citing "Learning Calibratable Policies using Programmatic Style-Consistency"

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Title
Character Controllers Using Motion VAEs Hung Yu Ling F. Zinno George Cheng M. van de Panne DRL 13 251 0 26 Mar 2021
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net Wenjie Luo Binh Yang R. Urtasun 3DPC 33 620 0 22 Dec 2020
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion Ying-Sheng Luo Jonathan Hans Soeseno Trista Pei-chun Chen Wei-Chao Chen 22 15 0 07 May 2020
Argoverse: 3D Tracking and Forecasting with Rich Maps Ming-Fang Chang John Lambert Patsorn Sangkloy Jagjeet Singh Sławomir Bąk ... De Wang Peter Carr Simon Lucey Deva Ramanan James Hays 3DPC 81 1,283 0 06 Nov 2019
Controlling Assistive Robots with Learned Latent Actions Dylan P. Losey K. Srinivasan Ajay Mandlekar Animesh Garg Dorsa Sadigh 46 69 0 20 Sep 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 47 404 0 02 Jul 2019
Learning Latent Subspaces in Variational Autoencoders Jack Klys Jake C. Snell R. Zemel SSL DRL 86 139 0 14 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 72 1,451 0 29 Nov 2018
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees Yuping Luo Huazhe Xu Yuanzhi Li Yuandong Tian Trevor Darrell Tengyu Ma OffRL 82 225 0 10 Jul 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 42 143 0 07 Jun 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 44 88 0 20 Mar 2018
Hierarchical Imitation and Reinforcement Learning Hoang Minh Le Nan Jiang Alekh Agarwal Miroslav Dudík Yisong Yue Hal Daumé 38 191 0 01 Mar 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 25 1,336 0 16 Feb 2018
Isolating Sources of Disentanglement in Variational Autoencoders T. Chen Xuechen Li Roger C. Grosse David Duvenaud DRL 21 449 0 14 Feb 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 86 1,116 0 02 Jan 2018
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Ting-Chun Wang Ming-Yuan Liu Jun-Yan Zhu Andrew Tao Jan Kautz Bryan Catanzaro SSeg 111 3,926 0 30 Nov 2017
Adversarial Information Factorization Antonia Creswell Yumnah Mohamied B. Sengupta Anil A Bharath CVBM GAN 39 23 0 14 Nov 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 53 967 0 08 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 179 18,685 0 20 Jul 2017
Robust Imitation of Diverse Behaviors Ziyun Wang J. Merel Scott E. Reed Greg Wayne Nando de Freitas N. Heess 45 195 0 10 Jul 2017
Generating Long-term Trajectories Using Deep Hierarchical Networks Stephan Zheng Yisong Yue Jennifer Hobbs 25 103 0 21 Jun 2017
Fader Networks: Manipulating Images by Sliding Attributes Guillaume Lample Neil Zeghidour Nicolas Usunier Antoine Bordes Ludovic Denoyer MarcÁurelio Ranzato DRL GAN 62 544 0 01 Jun 2017
The Atari Grand Challenge Dataset Vitaly Kurin Sebastian Nowozin Katja Hofmann Lucas Beyer Bastian Leibe OffRL 43 43 0 31 May 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Karol Hausman Yevgen Chebotar S. Schaal Gaurav Sukhatme Joseph J. Lim GAN 37 147 0 30 May 2017
A Neural Representation of Sketch Drawings David R Ha Douglas Eck 44 863 0 11 Apr 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 73 5,556 0 30 Mar 2017
Coordinated Multi-Agent Imitation Learning Hoang Minh Le Yisong Yue Peter Carr P. Lucey 35 189 0 09 Mar 2017
Toward Controlled Generation of Text Zhiting Hu Zichao Yang Xiaodan Liang Ruslan Salakhutdinov Eric Xing 117 986 0 02 Mar 2017
Learning the Structure of Generative Models without Labeled Data Stephen H. Bach Bryan D. He Alexander Ratner Christopher Ré 25 166 0 02 Mar 2017
Learning recurrent representations for hierarchical behavior modeling Eyrun Eyjolfsdottir K. Branson Yisong Yue Pietro Perona 23 48 0 01 Nov 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 117 4,224 0 12 Jun 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 93 3,084 0 10 Jun 2016
Data Programming: Creating Large Training Sets, Quickly Alexander Ratner Christopher De Sa Sen Wu Daniel Selsam Christopher Ré 50 713 0 25 May 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 24 4,153 0 25 Apr 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 51 483 0 20 Mar 2016
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 292 23,235 0 03 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 283 16,972 0 20 Dec 2013
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 61 3,196 0 02 Nov 2010