Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations

12 April 2019

Papers citing "Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations"

45 / 95 papers shown

Title
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience Marwa Abdulhai Natasha Jaques Sergey Levine OffRL 24 5 0 09 Aug 2022
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations Haoran Xu Xianyuan Zhan Honglei Yin Huiling Qin OffRL 26 66 0 20 Jul 2022
Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning Lu Gan J. Grizzle Ryan Eustice Maani Ghaffari 34 28 0 07 Jul 2022
Auto-Encoding Adversarial Imitation Learning Kaifeng Zhang Rui Zhao Ziming Zhang Yang Gao 29 1 0 22 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 42 141 0 15 Jun 2022
Model-based Offline Imitation Learning with Non-expert Data Jeongwon Park Lin F. Yang OffRL 40 1 0 11 Jun 2022
Receding Horizon Inverse Reinforcement Learning Yiqing Xu Wei Gao David Hsu 24 14 0 09 Jun 2022
Aligning Robot Representations with Humans Andreea Bobu Andi Peng 27 0 0 15 May 2022
Adversarial Training for High-Stakes Reliability Daniel M. Ziegler Seraphina Nix Lawrence Chan Tim Bauman Peter Schmidt-Nielsen ... Noa Nabeshima Benjamin Weinstein-Raun D. Haas Buck Shlegeris Nate Thomas AAML 38 59 0 03 May 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? Yuchen Cui S. Niekum Abhi Gupta Vikash Kumar Aravind Rajeswaran LM&Ro 30 74 0 23 Apr 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 30 22 0 07 Feb 2022
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer Zhangjie Cao Zihan Wang Dorsa Sadigh AAML 37 7 0 07 Feb 2022
Inducing Structure in Reward Learning by Learning Features Andreea Bobu Marius Wiggert Claire Tomlin Anca Dragan 27 30 0 18 Jan 2022
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft Vinicius G. Goecks Nicholas R. Waytowich David Watkins Bharat Prakash 13 7 0 07 Dec 2021
Versatile Inverse Reinforcement Learning via Cumulative Rewards Niklas Freymuth P. Becker Gerhard Neumann 30 4 0 15 Nov 2021
Credit Assignment Safety Learning from Human Demonstrations A. Prabhakar A. Billard 27 2 0 09 Oct 2021
Learning Multimodal Rewards from Rankings Vivek Myers Erdem Biyik Nima Anari Dorsa Sadigh OffRL 32 49 0 27 Sep 2021
APReL: A Library for Active Preference-based Reward Learning Algorithms Erdem Biyik Aditi Talati Dorsa Sadigh 20 36 0 16 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
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
Supervised Bayesian Specification Inference from Demonstrations Ankit J. Shah Pritish Kamath Shen Li Patrick L. Craven Kevin J. Landers Kevin B. Oden J. Shah 27 3 0 06 Jul 2021
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers Christian Stewart 36 49 0 31 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments F. Memarian Wonjoon Goo Rudolf Lioutikov S. Niekum Ufuk Topcu OffRL 34 48 0 08 Mar 2021
Off-Policy Imitation Learning from Observations Zhuangdi Zhu Kaixiang Lin Bo Dai Jiayu Zhou OffRL 29 86 0 25 Feb 2021
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z Leibo Kate Larson T. Graepel 42 200 0 15 Dec 2020
Understanding Learned Reward Functions Eric J. Michaud Adam Gleave Stuart J. Russell XAI OffRL 30 33 0 10 Dec 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper Oleh Rybkin Kostas Daniilidis Sergey Levine Chelsea Finn OffRL 16 105 0 12 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 159 0 09 Nov 2020
Online Observer-Based Inverse Reinforcement Learning Ryan Self Kevin Coleman H. Bai R. Kamalapurkar OffRL 24 19 0 03 Nov 2020
Robust Imitation Learning from Noisy Demonstrations Voot Tangkaratt Nontawat Charoenphakdee Masashi Sugiyama NoLa 41 27 0 20 Oct 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression Letian Chen Rohan R. Paleja Matthew C. Gombolay SSL 14 104 0 17 Oct 2020
Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach Huixin Zhan Feng Tao Yongcan Cao 38 26 0 15 Oct 2020
The Importance of Pessimism in Fixed-Dataset Policy Optimization Jacob Buckman Carles Gelada Marc G. Bellemare OffRL 42 136 0 15 Sep 2020
Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback Duo Xu Mohit Agarwal Ekansh Gupta Faramarz Fekri Raghupathy Sivakumar OffRL 30 11 0 30 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 26 124 0 08 Jun 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 22 26 0 06 Apr 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 35 101 0 21 Feb 2020
Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh Abhishek Gupta Ashwin Reddy Justin Fu Coline Devin Benjamin Eysenbach Sergey Levine 32 34 0 12 Dec 2019
Scaling data-driven robotics with reward sketching and batch reinforcement learning Serkan Cabi Sergio Gomez Colmenarejo Alexander Novikov Ksenia Konyushkova Scott E. Reed ... David Barker Jonathan Scholz Misha Denil Nando de Freitas Ziyun Wang OffRL 28 29 0 26 Sep 2019
VILD: Variational Imitation Learning with Diverse-quality Demonstrations Voot Tangkaratt Bo Han Mohammad Emtiyaz Khan Masashi Sugiyama 25 20 0 15 Sep 2019
Inverse Reinforcement Learning with Multiple Ranked Experts Pablo Samuel Castro Shijian Li Daqing Zhang 16 13 0 31 Jul 2019
On-Policy Robot Imitation Learning from a Converging Supervisor Ashwin Balakrishna Brijen Thananjeyan Jonathan Lee Felix Li Arsh Zahed Joseph E. Gonzalez Ken Goldberg 30 17 0 08 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 41 356 0 06 Jul 2019
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations Rohan R. Paleja Andrew Silva Letian Chen Matthew C. Gombolay 25 31 0 14 Jun 2019
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 37 598 0 18 Jun 2018