Behavioral Cloning from Observation

4 May 2018

Papers citing "Behavioral Cloning from Observation"

50 / 416 papers shown

Title
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble Fan Luo Xingchen Cao Rong-Jun Qin Yang Yu 27 2 0 01 Jun 2022
Non-Markovian policies occupancy measures Romain Laroche Rémi Tachet des Combes Jacob Buckman OffRL 37 1 0 27 May 2022
Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies Yu Wang Fang Liu 29 0 0 23 May 2022
Aligning Robot Representations with Humans Andreea Bobu Andi Peng 29 0 0 15 May 2022
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations Sang-Wook Seo Vaibhav Unhelkar OffRL 30 5 0 05 May 2022
Learning Value Functions from Undirected State-only Experience Matthew Chang Arjun Gupta Saurabh Gupta OffRL 23 8 0 26 Apr 2022
Know Thy Student: Interactive Learning with Gaussian Processes Rose E. Wang Mike Wu Noah D. Goodman 21 1 0 26 Apr 2022
Imitation Learning from Observations under Transition Model Disparity Tanmay Gangwani Yuanfei Zhou Jian-wei Peng 24 12 0 25 Apr 2022
SelfD: Self-Learning Large-Scale Driving Policies From the Web Jimuyang Zhang Ruizhao Zhu Eshed Ohn-Bar 24 20 0 21 Apr 2022
Causal Confusion and Reward Misidentification in Preference-Based Reward Learning J. Tien Jerry Zhi-Yang He Zackory M. Erickson Anca Dragan Daniel S. Brown CML 41 40 0 13 Apr 2022
Learning Performance Graphs from Demonstrations via Task-Based Evaluations Aniruddh Gopinath Puranic Jyotirmoy V. Deshmukh Stefanos Nikolaidis OffRL 31 5 0 12 Apr 2022
Learning Implicit Priors for Motion Optimization Julen Urain An T. Le Alexander Lambert Georgia Chalvatzaki Byron Boots Jan Peters 30 24 0 11 Apr 2022
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining Qihang Zhang Zhenghao Peng Bolei Zhou SSL 30 38 0 05 Apr 2022
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance Yueh-hua Wu Jiashun Wang Xiaolong Wang 34 55 0 05 Apr 2022
GAIL-PT: A Generic Intelligent Penetration Testing Framework with Generative Adversarial Imitation Learning Jinyin Chen Shulong Hu Haibin Zheng Changyou Xing Guomin Zhang 32 3 0 05 Apr 2022
What can we Learn Even From the Weakest? Learning Sketches for Programmatic Strategies L. C. Medeiros David S. Aleixo Levi H. S. Lelis 24 15 0 22 Mar 2022
ScienceWorld: Is your Agent Smarter than a 5th Grader? Ruoyao Wang Peter Alexander Jansen Marc-Alexandre Côté Prithviraj Ammanabrolu LLMAG ReLM LRM 36 109 0 14 Mar 2022
A Survey on Reinforcement Learning Methods in Character Animation Ariel Kwiatkowski Eduardo Alvarado Vicky Kalogeiton Chenxi Liu Julien Pettré M. van de Panne Marie-Paule Cani AI4CE 24 44 0 07 Mar 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization Minghuan Liu Zhengbang Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao Yong Yu Jun Wang 35 11 0 04 Mar 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation Geon-hyeong Kim Jongmin Lee Youngsoo Jang Hongseok Yang Kyungmin Kim OffRL 35 15 0 28 Feb 2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation Yuqing Du Daniel Ho Alexander A. Alemi Eric Jang Mohi Khansari SSL 24 9 0 15 Feb 2022
Imitation Learning by State-Only Distribution Matching Damian Boborzi C. Straehle Jens S. Buchner Lars Mikelsons OOD OffRL 15 4 0 09 Feb 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 30 22 0 07 Feb 2022
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching Yecheng Jason Ma Andrew Shen Dinesh Jayaraman Osbert Bastani OffRL 25 32 0 04 Feb 2022
Pre-Trained Language Models for Interactive Decision-Making Shuang Li Xavier Puig Chris Paxton Yilun Du Clinton Jia Wang ... Anima Anandkumar Jacob Andreas Igor Mordatch Antonio Torralba Yuke Zhu LM&Ro 50 250 0 03 Feb 2022
Adversarial Imitation Learning from Video using a State Observer Haresh Karnan Garrett A. Warnell F. Torabi Peter Stone GAN 42 13 0 01 Feb 2022
Improving Behavioural Cloning with Human-Driven Dynamic Dataset Augmentation Federico Malato Joona Jehkonen Ville Hautamaki 21 1 0 19 Jan 2022
Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations I. Halperin Jiayu Liu Xiao Zhang AIFin 21 5 0 06 Jan 2022
The Surprising Effectiveness of Representation Learning for Visual Imitation Jyothish Pari Nur Muhammad (Mahi) Shafiullah Sridhar Pandian Arunachalam Lerrel Pinto SSL 27 161 0 02 Dec 2021
Dynamic Inference Aolin Xu 31 0 0 29 Nov 2021
Off-policy Imitation Learning from Visual Inputs Zhihao Cheng Li Shen Dacheng Tao 20 2 0 08 Nov 2021
Supervised Advantage Actor-Critic for Recommender Systems Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose OffRL 26 30 0 05 Nov 2021
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning Sabela Ramos Sertan Girgin Léonard Hussenot Damien Vincent Hanna Yakubovich ... Piotr Stańczyk Raphaël Marinier Jeremiah Harmsen Olivier Pietquin Nikola Momchev OffRL 38 24 0 04 Nov 2021
Learning Feasibility to Imitate Demonstrators with Different Dynamics Zhangjie Cao Yilun Hao Mengxi Li Dorsa Sadigh 22 10 0 28 Oct 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning Ryan Hoque Ashwin Balakrishna Ellen R. Novoseller Albert Wilcox Daniel S. Brown Ken Goldberg 37 84 0 17 Sep 2021
TERP: Reliable Planning in Uneven Outdoor Environments using Deep Reinforcement Learning K. Weerakoon A. Sathyamoorthy Utsav Patel Tianyi Zhou 31 53 0 10 Sep 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning Yangyi Chen Jingtong Su Wei Wei AAML 22 32 0 09 Sep 2021
Teaching Autoregressive Language Models Complex Tasks By Demonstration Gabriel Recchia 31 22 0 05 Sep 2021
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos Yuzhe Qin Yueh-hua Wu Shaowei Liu Hanwen Jiang Ruihan Yang Yang Fu Xiaolong Wang 134 190 0 12 Aug 2021
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning Wendyam Eric Lionel Ilboudo Taisuke Kobayashi Kenji Sugimoto 19 4 0 02 Aug 2021
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration Christian Ellis Maggie B. Wigness J. Rogers Craig T. Lennon L. Fiondella 90 6 0 31 Jul 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang Jenna Wiens OffRL 26 78 0 23 Jul 2021
Playful Interactions for Representation Learning Sarah Young Jyothish Pari Pieter Abbeel Lerrel Pinto SSL 49 14 0 19 Jul 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 30 49 0 16 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 86 28 0 13 Jul 2021
Imitation by Predicting Observations Andrew Jaegle Yury Sulsky Arun Ahuja Jake Bruce Rob Fergus Greg Wayne 29 12 0 08 Jul 2021
Imitation Learning: Progress, Taxonomies and Challenges Boyuan Zheng Sunny Verma Jianlong Zhou Ivor Tsang Fang Chen 27 85 0 23 Jun 2021
Learning from Demonstration without Demonstrations Tom Blau Gilad Francis Philippe Morere OffRL 24 1 0 17 Jun 2021
Policy Gradient Bayesian Robust Optimization for Imitation Learning Zaynah Javed Daniel S. Brown Satvik Sharma Jerry Zhu Ashwin Balakrishna Marek Petrik Anca Dragan Ken Goldberg 29 16 0 11 Jun 2021
XIRL: Cross-embodiment Inverse Reinforcement Learning Kevin Zakka Andy Zeng Peter R. Florence Jonathan Tompson Jeannette Bohg Debidatta Dwibedi SSL 43 119 0 07 Jun 2021