Generative Adversarial Imitation Learning

10 June 2016

Papers citing "Generative Adversarial Imitation Learning"

50 / 1,679 papers shown

Title
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach Jun Jin Laura Petrich Masood Dehghan Zichen Zhang Martin Jägersand 41 13 0 29 Sep 2018
Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills Hejia Zhang Eric Heiden Stefanos Nikolaidis Joseph J. Lim Gaurav Sukhatme 12 10 0 29 Sep 2018
Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS Biped Tianyu Li Akshara Rai H. Geyer C. Atkeson 30 51 0 28 Sep 2018
Incremental Adversarial Learning for Optimal Path Planning Salvatore Virga Christian Rupprecht Nassir Navab C. Hennersperger GAN 23 1 0 25 Sep 2018
Constrained Exploration and Recovery from Experience Shaping Tu-Hoa Pham Giovanni De Magistris Don Joven Agravante Subhajit Chaudhury Asim Munawar Ryuki Tachibana 18 3 0 21 Sep 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 22 61 0 17 Sep 2018
Inspiration Learning through Preferences Nir Baram Shie Mannor 28 1 0 16 Sep 2018
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector Amit Zohar Lior Wolf 41 78 0 12 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 25 37 0 10 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 43 258 0 09 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 44 809 0 07 Sep 2018
Sample-Efficient Imitation Learning via Generative Adversarial Nets Lionel Blondé Alexandros Kalousis GAN 16 47 0 06 Sep 2018
Cost Functions for Robot Motion Style Allan Zhou Anca Dragan 24 20 0 01 Sep 2018
Defining the problem of Observation Learning Leo Pauly 24 5 0 24 Aug 2018
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations Michael Schaarschmidt A. Kuhnle Ben Ellis Kai Fricke Felix Gessert Eiko Yoneki OffRL 32 41 0 23 Aug 2018
Risk-Sensitive Generative Adversarial Imitation Learning Jonathan Lacotte Mohammad Ghavamzadeh Yinlam Chow Marco Pavone GAN 27 24 0 13 Aug 2018
Global Convergence to the Equilibrium of GANs using Variational Inequalities I. Gemp Sridhar Mahadevan 35 50 0 04 Aug 2018
Multi-Agent Generative Adversarial Imitation Learning Jiaming Song Hongyu Ren Dorsa Sadigh Stefano Ermon GAN 27 218 0 26 Jul 2018
Backplay: "Man muss immer umkehren" Cinjon Resnick R. Raileanu Sanyam Kapoor Alex Peysakhovich Kyunghyun Cho Joan Bruna OffRL 39 45 0 18 Jul 2018
Generative Adversarial Imitation from Observation F. Torabi Garrett A. Warnell Peter Stone GAN 35 241 0 17 Jul 2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving Xiaodan Liang Tairui Wang Luona Yang Eric Xing 32 267 0 10 Jul 2018
Towards Mixed Optimization for Reinforcement Learning with Program Synthesis Surya Bhupatiraju Kumar Krishna Agrawal Rishabh Singh 19 6 0 01 Jul 2018
Amanuensis: The Programmer's Apprentice Thomas Dean Maurice Chiang Marcus Gomez Nate Gruver Yousef Hindy ... S. Sanchez Rohun Saxena Michael Smith Lucy Wang Catherine Wong 31 3 0 29 Jun 2018
Learning Existing Social Conventions via Observationally Augmented Self-Play Adam Lerer A. Peysakhovich OffRL 21 2 0 26 Jun 2018
Towards a Better Understanding and Regularization of GAN Training Dynamics Weili Nie Ankit B. Patel GAN AI4CE 21 4 0 24 Jun 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 37 601 0 18 Jun 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 48 471 0 14 Jun 2018
Learning to Understand Goal Specifications by Modelling Reward Dzmitry Bahdanau Felix Hill Jan Leike Edward Hughes Seyedarian Hosseini Pushmeet Kohli Edward Grefenstette 49 157 0 05 Jun 2018
Internal Model from Observations for Reward Shaping Daiki Kimura Subhajit Chaudhury Ryuki Tachibana Sakyasingha Dasgupta 25 22 0 02 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 39 66 0 31 May 2018
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation Shani Gamrian Yoav Goldberg 32 106 0 31 May 2018
Adversarial Learning of Task-Oriented Neural Dialog Models Bing-Quan Liu Ian Lane OffRL 12 39 0 30 May 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition Justin Fu Avi Singh Dibya Ghosh Larry Yang Sergey Levine BDL 14 125 0 29 May 2018
Playing hard exploration games by watching YouTube Y. Aytar Tobias Pfaff David Budden T. Paine Ziyun Wang Nando de Freitas 35 269 0 29 May 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 29 65 0 25 May 2018
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning Jing-Cheng Shi Yang Yu Qing Da Shi-Yong Chen Anxiang Zeng OffRL 36 185 0 25 May 2018
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards Daniel J. McDuff Ashish Kapoor OOD 10 8 0 25 May 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning Adam Gleave Oliver Habryka 37 39 0 22 May 2018
Learning to Optimize via Wasserstein Deep Inverse Optimal Control Yichen Wang Le Song H. Zha 17 1 0 22 May 2018
Maximum Causal Tsallis Entropy Imitation Learning Kyungjae Lee Sungjoon Choi Songhwai Oh OOD 34 20 0 22 May 2018
Imitating Latent Policies from Observation Ashley D. Edwards Himanshu Sahni Yannick Schroecker Charles Isbell 42 137 0 21 May 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations Mark Pfeiffer Samarth Shukla M. Turchetta Cesar Cadena Andreas Krause Roland Siegwart Juan I. Nieto 27 157 0 18 May 2018
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations Jonathan Tremblay Thang To Artem Molchanov Stephen Tyree Jan Kautz Stan Birchfield 32 36 0 18 May 2018
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning Tharindu Fernando Simon Denman Sridha Sridharan Clinton Fookes GAN 34 26 0 13 May 2018
Task Transfer by Preference-Based Cost Learning Chi-Hung Hsu Shu-Huan Chang Da-Cheng Juan Yu-Ting Chen Shih-Chieh Chang 32 54 0 12 May 2018
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks Amir Yazdanbakhsh Hajar Falahati Philip J. Wolfe K. Samadi Nam Sung Kim H. Esmaeilzadeh 37 71 0 10 May 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 60 711 0 04 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 33 663 0 02 May 2018
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling Xin Eric Wang Wenhu Chen Yuan-fang Wang William Yang Wang 21 157 0 24 Apr 2018
Zero-Shot Visual Imitation Deepak Pathak Parsa Mahmoudieh Guanghao Luo Pulkit Agrawal Dian Chen Yide Shentu Evan Shelhamer Jitendra Malik Alexei A. Efros Trevor Darrell LM&Ro 68 298 0 23 Apr 2018