Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

30 October 2017

Papers citing "Learning Robust Rewards with Adversarial Inverse Reinforcement Learning"

50 / 149 papers shown

Title
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games Viet The Bui Tien Mai T. Nguyen AAML 25 5 0 30 Oct 2022
Environment Design for Inverse Reinforcement Learning Thomas Kleine Buening Victor Villin Christos Dimitrakakis 32 1 0 26 Oct 2022
Planning for Sample Efficient Imitation Learning Zhao-Heng Yin Weirui Ye Qifeng Chen Yang Gao OffRL 23 21 0 18 Oct 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving Eli Bronstein Mark Palatucci Dominik Notz Brandyn White Alex Kuefler ... Punit Shah Evan Racah Benjamin Frenkel Shimon Whiteson Drago Anguelov 43 58 0 18 Oct 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong 31 42 0 04 Oct 2022
Regularized Soft Actor-Critic for Behavior Transfer Learning Mingxi Tan Andong Tian Ludovic Denoyer 20 3 0 27 Sep 2022
Defining and Characterizing Reward Hacking Joar Skalse Nikolaus H. R. Howe Dmitrii Krasheninnikov David M. Krueger 59 55 0 27 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Weighted Maximum Entropy Inverse Reinforcement Learning Viet The Bui Tien Mai P. Jaillet 22 0 0 20 Aug 2022
Exploring the trade off between human driving imitation and safety for traffic simulation Yann Koeberle S. Sabatini D. Tsishkou C. Sabourin 27 4 0 09 Aug 2022
Graph Inverse Reinforcement Learning from Diverse Videos Sateesh Kumar Jonathan Zamora Nicklas Hansen Rishabh Jangir Xiaolong Wang 27 53 0 28 Jul 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport Siddhant Haldar Vaibhav Mathur Denis Yarats Lerrel Pinto 46 62 0 30 Jun 2022
Auto-Encoding Adversarial Imitation Learning Kaifeng Zhang Rui Zhao Ziming Zhang Yang Gao 17 1 0 22 Jun 2022
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy E. Uchibe 15 3 0 21 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 25 138 0 15 Jun 2022
Model-based Offline Imitation Learning with Non-expert Data Jeongwon Park Lin F. Yang OffRL 32 1 0 11 Jun 2022
Imitation Learning via Differentiable Physics Siwei Chen Xiao Ma Zhongwen Xu PINN AI4CE 19 4 0 10 Jun 2022
Receding Horizon Inverse Reinforcement Learning Yiqing Xu Wei Gao David Hsu 18 14 0 09 Jun 2022
GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters Anssi Kanervisto Tomi Kinnunen Ville Hautamaki 22 12 0 14 May 2022
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation Yuzhe Qin Hao Su Xiaolong Wang 17 98 0 26 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 29 84 0 13 Apr 2022
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance Yueh-hua Wu Jiashun Wang Xiaolong Wang 21 55 0 05 Apr 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning Yuansheng Xie Soroush Vosoughi Saeed Hassanpour 19 2 0 30 Mar 2022
A Primer on Maximum Causal Entropy Inverse Reinforcement Learning Adam Gleave Sam Toyer 21 13 0 22 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 J. Wang 27 11 0 04 Mar 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration Sravan Jayanthi Letian Chen Matthew C. Gombolay 14 0 0 14 Feb 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 17 22 0 07 Feb 2022
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer Zhangjie Cao Zihan Wang Dorsa Sadigh AAML 24 7 0 07 Feb 2022
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning Keuntaek Lee David Isele Evangelos A. Theodorou S. Bae 24 24 0 17 Jan 2022
Programmatic Reward Design by Example Weichao Zhou Wenchao Li 34 15 0 14 Dec 2021
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework Kritika Prakash Fiza Husain P. Paruchuri Sujit Gujar OffRL 18 11 0 10 Dec 2021
Sample Efficient Imitation Learning via Reward Function Trained in Advance Lihua Zhang 22 1 0 23 Nov 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo Edward Johns SSL 19 23 0 14 Nov 2021
Human irrationality: both bad and good for reward inference Lawrence Chan Andrew Critch Anca Dragan 12 24 0 12 Nov 2021
Smooth Imitation Learning via Smooth Costs and Smooth Policies Sapana Chaudhary Balaraman Ravindran 19 1 0 03 Nov 2021
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain Yachen Kang Jinxin Liu Xin Cao Donglin Wang 13 3 0 21 Oct 2021
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System M. Schultheis Dominik Straub Constantin Rothkopf 11 20 0 21 Oct 2021
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning Yantian Zha L. Guan Subbarao Kambhampati 26 5 0 11 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks Ju-Seung Byun Andrew Perrault 13 6 0 08 Oct 2021
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration Letian Chen Rohan R. Paleja Matthew C. Gombolay 13 2 0 08 Oct 2021
How To Not Drive: Learning Driving Constraints from Demonstration K. Rezaee Peyman Yadmellat 31 3 0 01 Oct 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 125 188 0 12 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 21 9 0 04 Aug 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 28 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 73 28 0 13 Jul 2021
Multi-Agent Imitation Learning with Copulas Hongwei Wang Lantao Yu Zhangjie Cao Stefano Ermon AI4CE 35 12 0 10 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 29 66 0 08 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
The MineRL BASALT Competition on Learning from Human Feedback Rohin Shah Cody Wild Steven H. Wang Neel Alex Brandon Houghton ... Stephanie Milani Nicholay Topin Pieter Abbeel Stuart J. Russell Anca Dragan 28 30 0 05 Jul 2021