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Learning a Prior over Intent via Meta-Inverse Reinforcement Learning

31 May 2018

Papers citing "Learning a Prior over Intent via Meta-Inverse Reinforcement Learning"

37 / 37 papers shown

Title
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following Justin Fu Anoop Korattikara Balan Sergey Levine S. Guadarrama OffRL LM&Ro 65 125 0 20 Feb 2019
Concept Learning with Energy-Based Models William J. Wilkinson 135 25 0 06 Nov 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 285 503 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 271 672 0 07 Jun 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 88 510 0 26 Jan 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 129 757 0 30 Oct 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions Scott E. Reed Yutian Chen T. Paine Aaron van den Oord S. M. Ali Eslami Danilo Jimenez Rezende Oriol Vinyals Nando de Freitas 91 88 0 27 Oct 2017
Burn-In Demonstrations for Multi-Modal Imitation Learning Alex Kuefler Mykel J. Kochenderfer 53 25 0 13 Oct 2017
Meta Inverse Reinforcement Learning via Maximum Reward Sharing for Human Motion Analysis Kun Li J. W. Burdick OOD 48 8 0 07 Oct 2017
One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn Tianhe Yu Tianhao Zhang Pieter Abbeel Sergey Levine SSL 126 566 0 14 Sep 2017
A Simple Neural Attentive Meta-Learner Nikhil Mishra Mostafa Rohaninejad Xi Chen Pieter Abbeel OOD 71 199 0 11 Jul 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Karol Hausman Yevgen Chebotar S. Schaal Gaurav Sukhatme Joseph J. Lim GAN 69 150 0 30 May 2017
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations Yunzhu Li Jiaming Song Stefano Ermon 59 44 0 26 Mar 2017
One-Shot Imitation Learning Yan Duan Marcin Andrychowicz Bradly C. Stadie Jonathan Ho Jonas Schneider Ilya Sutskever Pieter Abbeel Wojciech Zaremba OffRL 82 688 0 21 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 303 8,145 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,937 0 09 Mar 2017
Attentive Recurrent Comparators Pranav Shyam Shubham Gupta Ambedkar Dukkipati VLM 60 108 0 02 Mar 2017
Learning to Optimize Neural Nets Ke Li Jitendra Malik 62 132 0 01 Mar 2017
Incorporating Human Domain Knowledge into Large Scale Cost Function Learning Markus Wulfmeier Dushyant Rao Ingmar Posner OffRL 47 15 0 13 Dec 2016
Semantic Scene Completion from a Single Depth Image Shuran Song Feng Yu Andy Zeng Angel X. Chang Manolis Savva Thomas Funkhouser 3DV 90 1,245 0 28 Nov 2016
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 982 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 99 1,019 0 09 Nov 2016
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games Gabriel Synnaeve Nantas Nardelli Alex Auvolat Soumith Chintala Timothée Lacroix Zeming Lin Florian Richoux Nicolas Usunier GNN 50 105 0 01 Nov 2016
Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments Markus Wulfmeier Dominic Zeng Wang Ingmar Posner 58 114 0 08 Jul 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 239 2,403 0 21 Jun 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 115 2,008 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 373 7,323 0 13 Jun 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 156 3,119 0 10 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 741 37,886 0 20 May 2016
One-Shot Generalization in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Ivo Danihelka Karol Gregor Daan Wierstra BDL VLM DRL LRM 110 254 0 16 Mar 2016
Maximum Entropy Deep Inverse Reinforcement Learning Markus Wulfmeier Peter Ondruska Ingmar Posner OOD 80 406 0 17 Jul 2015
Early Stopping is Nonparametric Variational Inference D. Maclaurin David Duvenaud Ryan P. Adams BDL 86 95 0 06 Apr 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 315 3,442 0 02 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Recurrent Neural Network Regularization Wojciech Zaremba Ilya Sutskever Oriol Vinyals ODL 148 2,777 0 08 Sep 2014
Bayesian multitask inverse reinforcement learning Christos Dimitrakakis Constantin Rothkopf BDL 70 107 0 18 Jun 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 231 3,232 0 02 Nov 2010