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"

30 / 80 papers shown

Title
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 22 22 0 07 Feb 2022
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer Zhangjie Cao Zihan Wang Dorsa Sadigh AAML 32 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 14 4 0 15 Nov 2021
Credit Assignment Safety Learning from Human Demonstrations A. Prabhakar A. Billard 17 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 35 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 72 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 73 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 25 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
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z Leibo Kate Larson T. Graepel 34 199 0 15 Dec 2020
Understanding Learned Reward Functions Eric J. Michaud Adam Gleave Stuart J. Russell XAI OffRL 22 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 24 158 0 09 Nov 2020
Online Observer-Based Inverse Reinforcement Learning Ryan Self Kevin Coleman H. Bai R. Kamalapurkar OffRL 8 19 0 03 Nov 2020
Robust Imitation Learning from Noisy Demonstrations Voot Tangkaratt Nontawat Charoenphakdee Masashi Sugiyama NoLa 38 26 0 20 Oct 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression Letian Chen Rohan R. Paleja Matthew C. Gombolay SSL 6 104 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 33 135 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 22 11 0 30 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 20 124 0 08 Jun 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 30 101 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 24 33 0 12 Dec 2019
Inverse Reinforcement Learning with Multiple Ranked Experts Pablo Samuel Castro Shijian Li Daqing Zhang 11 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 24 17 0 08 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 30 356 0 06 Jul 2019
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 20 594 0 18 Jun 2018