Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

30 October 2017

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

50 / 189 papers shown

Title
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations Siddhant Haldar Jyothish Pari A. Rai Lerrel Pinto 35 66 0 02 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma Ahmed M. Ahmed Rehaan Ahmad Chelsea Finn SSL 59 17 0 02 Mar 2023
The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning Haotian Hu Yiqin Yang Qianchuan Zhao Chongjie Zhang OffRL 11 5 0 27 Feb 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong OffRL 34 13 0 15 Feb 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang Bo Du Chang Xu 38 8 0 13 Feb 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer Allen Z. Ren Hongkai Dai Benjamin Burchfiel Anirudha Majumdar 27 14 0 09 Feb 2023
DITTO: Offline Imitation Learning with World Models Branton DeMoss Paul Duckworth Nick Hawes Ingmar Posner Ingmar Posner OffRL 21 18 0 06 Feb 2023
Visual Imitation Learning with Patch Rewards Minghuan Liu Tairan He Weinan Zhang Shuicheng Yan Zhongwen Xu SSL 22 13 0 02 Feb 2023
PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav Ram Ramrakhya Dhruv Batra Erik Wijmans Abhishek Das OffRL 31 53 0 18 Jan 2023
On The Fragility of Learned Reward Functions Lev McKinney Yawen Duan David M. Krueger Adam Gleave 33 20 0 09 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and Privacy Yunjiao Lei Dayong Ye Sheng Shen Yulei Sui Tianqing Zhu Wanlei Zhou 38 18 0 31 Dec 2022
On the Sensitivity of Reward Inference to Misspecified Human Models Joey Hong Kush S. Bhatia Anca Dragan 21 24 0 09 Dec 2022
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble Chong Li OffRL 32 0 0 07 Dec 2022
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking David Zhang Micah Carroll Andreea Bobu Anca Dragan 24 4 0 30 Nov 2022
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations Yiwen Qiu Jialong Wu Zhangjie Cao Mingsheng Long 31 3 0 13 Nov 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games Viet The Bui Tien Mai T. Nguyen AAML 33 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 31 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 45 58 0 18 Oct 2022
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control Jiayu Chen Tian-Shing Lan Vaneet Aggarwal BDL 24 16 0 05 Oct 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong 34 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 56 0 27 Sep 2022
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection Orel Lavie A. Shabtai Gilad Katz AAML OffRL 32 1 0 19 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 79 45 0 16 Sep 2022
Weighted Maximum Entropy Inverse Reinforcement Learning Viet The Bui Tien Mai Patrick Jaillet 27 0 0 20 Aug 2022
Pathway to Future Symbiotic Creativity Yi-Ting Guo Qi-fei Liu Jie Chen Wei Xue Jie Fu ... Fernando Rosas Jeffrey Shaw Xing Wu Jiji Zhang Jianliang Xu 34 0 0 18 Aug 2022
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience Marwa Abdulhai Natasha Jaques Sergey Levine OffRL 24 5 0 09 Aug 2022
Exploring the trade off between human driving imitation and safety for traffic simulation Yann Koeberle S. Sabatini D. Tsishkou C. Sabourin 33 4 0 09 Aug 2022
Graph Inverse Reinforcement Learning from Diverse Videos Sateesh Kumar Jonathan Zamora Nicklas Hansen Rishabh Jangir Xiaolong Wang 35 53 0 28 Jul 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport Siddhant Haldar Vaibhav Mathur Denis Yarats Lerrel Pinto 61 62 0 30 Jun 2022
Auto-Encoding Adversarial Imitation Learning Kaifeng Zhang Rui Zhao Ziming Zhang Yang Gao 24 1 0 22 Jun 2022
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy E. Uchibe 23 3 0 21 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 37 141 0 15 Jun 2022
Model-based Offline Imitation Learning with Non-expert Data Jeongwon Park Lin F. Yang OffRL 34 1 0 11 Jun 2022
Imitation Learning via Differentiable Physics Siwei Chen Xiao Ma Zhongwen Xu PINN AI4CE 24 4 0 10 Jun 2022
Receding Horizon Inverse Reinforcement Learning Yiqing Xu Wei Gao David Hsu 24 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 27 99 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 35 84 0 13 Apr 2022
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance Yueh-hua Wu Jiashun Wang Xiaolong Wang 29 55 0 05 Apr 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning Yuansheng Xie Soroush Vosoughi Saeed Hassanpour 26 2 0 30 Mar 2022
A Primer on Maximum Causal Entropy Inverse Reinforcement Learning Adam Gleave Sam Toyer 26 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 Jun Wang 35 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 30 0 0 14 Feb 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 25 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
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning Keuntaek Lee David Isele Evangelos A. Theodorou S. Bae 32 24 0 17 Jan 2022
Programmatic Reward Design by Example Weichao Zhou Wenchao Li 34 15 0 14 Dec 2021