Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience

9 August 2022

Papers citing "Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience"

36 / 36 papers shown

Title
OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment Yooseok Lim Sujee Lee OffRL 205 0 0 03 Jan 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 116 2 0 11 Nov 2024
Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics Yingdong Qian Marta Kryven Tao Gao Hanbyul Joo J. Tenenbaum 43 1 0 02 Dec 2021
IQ-Learn: Inverse soft-Q Learning for Imitation Divyansh Garg Shuvam Chakraborty Chris Cundy Jiaming Song Matthieu Geist Stefano Ermon 86 186 0 23 Jun 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning Angelos Filos Clare Lyle Y. Gal Sergey Levine Natasha Jaques Gregory Farquhar 49 22 0 24 Feb 2021
Scalable Bayesian Inverse Reinforcement Learning Alex J. Chan M. Schaar OffRL BDL 81 67 0 12 Feb 2021
Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning Zhiyu Huang Jingda Wu Chen Lv OffRL 79 151 0 07 Oct 2020
Deep Inverse Q-learning with Constraints Gabriel Kalweit M. Huegle M. Werling Joschka Boedecker BDL 44 33 0 04 Aug 2020
Strictly Batch Imitation Learning by Energy-based Distribution Matching Daniel Jarrett Ioana Bica M. Schaar OffRL 66 62 0 25 Jun 2020
Imitation Learning via Off-Policy Distribution Matching Ilya Kostrikov Ofir Nachum Jonathan Tompson OOD OffRL 152 204 0 10 Dec 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables Lantao Yu Tianhe Yu Chelsea Finn Stefano Ermon OffRL BDL 50 72 0 20 Sep 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 76 152 0 12 Jun 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations Daniel S. Brown Wonjoon Goo P. Nagarajan S. Niekum 73 357 0 12 Apr 2019
Truly Batch Apprenticeship Learning with Deep Successor Features Donghun Lee Srivatsan Srinivasan Finale Doshi-Velez OffRL OOD 51 35 0 24 Mar 2019
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 79 116 0 18 Dec 2018
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning David Janz Jiri Hron Przemysław Mazur Katja Hofmann José Miguel Hernández-Lobato Sebastian Tschiatschek 99 52 0 15 Oct 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 87 260 0 09 Sep 2018
Count-Based Exploration with the Successor Representation Marlos C. Machado Marc G. Bellemare Michael Bowling 46 187 0 31 Jul 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 72 65 0 31 May 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning Adam Gleave Oliver Habryka 118 39 0 22 May 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 113 725 0 04 May 2018
Machine Theory of Mind Neil C. Rabinowitz Frank Perbet H. F. Song Chiyuan Zhang S. M. Ali Eslami M. Botvinick AI4CE 124 475 0 21 Feb 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 129 756 0 30 Oct 2017
Eigenoption Discovery through the Deep Successor Representation Marlos C. Machado Clemens Rosenbaum Xiaoxiao Guo Miao Liu Gerald Tesauro Murray Campbell 66 140 0 30 Oct 2017
Advantages and Limitations of using Successor Features for Transfer in Reinforcement Learning Lucas Lehnert Stefanie Tellex Michael L. Littman 49 49 0 31 Jul 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation YuXuan Liu Abhishek Gupta Pieter Abbeel Sergey Levine 111 380 0 11 Jul 2017
Observational Learning by Reinforcement Learning Diana Borsa Bilal Piot Rémi Munos Olivier Pietquin OffRL 52 45 0 20 Jun 2017
Visual Semantic Planning using Deep Successor Representations Yuke Zhu Daniel Gordon Eric Kolve Dieter Fox Li Fei-Fei Abhinav Gupta Roozbeh Mottaghi Ali Farhadi 79 141 0 23 May 2017
Time-Contrastive Networks: Self-Supervised Learning from Video P. Sermanet Corey Lynch Yevgen Chebotar Jasmine Hsu Eric Jang S. Schaal Sergey Levine SSL 101 826 0 23 Apr 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 110 1,340 0 27 Feb 2017
Model-based Adversarial Imitation Learning Nir Baram Oron Anschel Shie Mannor GAN 44 43 0 07 Dec 2016
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 47 575 0 16 Jun 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 152 3,115 0 10 Jun 2016
Cooperative Inverse Reinforcement Learning Dylan Hadfield-Menell Anca Dragan Pieter Abbeel Stuart J. Russell 69 644 0 09 Jun 2016
Inverse Reinforcement Learning via Deep Gaussian Process Ming Jin Andreas C. Damianou Pieter Abbeel C. Spanos OffRL BDL GP 45 22 0 26 Dec 2015
Maximum Entropy Deep Inverse Reinforcement Learning Markus Wulfmeier Peter Ondruska Ingmar Posner OOD 77 406 0 17 Jul 2015