Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization

1 March 2016

Pieter Abbeel

Papers citing "Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization"

50 / 221 papers shown

Title
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations Jiahui Zhang Yusen Luo Abrar Anwar Sumedh Anand Sontakke Joseph J Lim Jesse Thomason Erdem Biyik Jesse Zhang OffRL LM&Ro 27 0 0 16 May 2025
Cost Function Estimation Using Inverse Reinforcement Learning with Minimal Observations Sarmad Mehrdad Avadesh Meduri Ludovic Righetti 26 0 0 13 May 2025
Recursive Deep Inverse Reinforcement Learning Paul Ghanem Michael Potter Owen Howell Pau Closas A. Ramezani Deniz Erdogmus Tales Imbiriba 34 0 0 17 Apr 2025
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation Tan Shu Li Shen 49 0 0 04 Apr 2025
On the Effective Horizon of Inverse Reinforcement Learning Yiqing Xu Finale Doshi-Velez David Hsu 56 0 0 21 Feb 2025
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning Hao Sun M. Schaar 94 14 0 28 Jan 2025
Effects of Robot Competency and Motion Legibility on Human Correction Feedback Shuangge Wang Anjiabei Wang Sofiya Goncharova Brian Scassellati Tesca Fitzgerald 46 1 0 08 Jan 2025
OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment Yooseok Lim Sujee Lee OffRL 152 0 0 03 Jan 2025
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration Xingrui Yu Zhenglin Wan David Mark Bossens Yueming Lyu Qing Guo Ivor W. Tsang 245 0 0 11 Nov 2024
On-Robot Reinforcement Learning with Goal-Contrastive Rewards Ondrej Biza Thomas Weng Lingfeng Sun Karl Schmeckpeper Tarik Kelestemur Yecheng Jason Ma Robert Platt Jan-Willem van de Meent Lawson L. S. Wong OffRL 52 0 0 25 Oct 2024
Learning Transparent Reward Models via Unsupervised Feature Selection Daulet Baimukashev G. Alcan K. Luck Ville Kyrki SSL OffRL 46 0 0 24 Oct 2024
Learning Causally Invariant Reward Functions from Diverse Demonstrations Ivan Ovinnikov Eugene Bykovets J. M. Buhmann CML 40 0 0 12 Sep 2024
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning Yen-Ru Lai Fu-Chieh Chang Pei-Yuan Wu OffRL 81 1 0 22 Aug 2024
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts Yanting Yang Minghao Chen Qibo Qiu Jiahao Wu Wenxiao Wang Binbin Lin Ziyu Guan Xiaofei He LM&Ro 45 2 0 20 Jul 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 44 3 0 30 Jun 2024
Pareto-Optimal Learning from Preferences with Hidden Context Ryan Boldi Li Ding Lee Spector S. Niekum 70 6 0 21 Jun 2024
RILe: Reinforced Imitation Learning Mert Albaba Sammy Christen Christoph Gebhardt Thomas Langarek Otmar Hilliges Otmar Hilliges 55 1 0 12 Jun 2024
A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies Md Mirajul Islam Xi Yang J. Hostetter Adittya Soukarjya Saha Min Chi 29 1 0 04 Jun 2024
Conditional Latent ODEs for Motion Prediction in Autonomous Driving Khang Truong Giang Yongjae Kim Andrea Finazzi BDL 32 1 0 29 May 2024
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback Kihyun Kim Jiawei Zhang Asuman Ozdaglar P. Parrilo OffRL 51 1 0 20 May 2024
Enhancing Q-Learning with Large Language Model Heuristics Xiefeng Wu LRM 32 0 0 06 May 2024
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue Linsey Pang Bo An Haipeng Chen Sanjay Chawla 51 3 0 02 May 2024
Rank2Reward: Learning Shaped Reward Functions from Passive Video Daniel Yang Davin Tjia Jacob Berg Dima Damen Pulkit Agrawal Abhishek Gupta OffRL 42 5 0 23 Apr 2024
Legible and Proactive Robot Planning for Prosocial Human-Robot Interactions Jasper Geldenbott Karen Leung 49 3 0 04 Apr 2024
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations E. C. Ozcan Vittorio Giammarino James Queeney I. Paschalidis OffRL 44 0 0 29 Feb 2024
Transductive Reward Inference on Graph B. Qu Xiaofeng Cao Qing Guo Yi Chang Ivor W. Tsang Chengqi Zhang OffRL 43 0 0 06 Feb 2024
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 27 27 0 28 Oct 2023
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning Sachit Kuhar Shuo Cheng Shivang Chopra Matthew Bronars Danfei Xu 60 9 0 22 Oct 2023
Learning Reward for Physical Skills using Large Language Model Yuwei Zeng Yiqing Xu 38 6 0 21 Oct 2023
Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations Lu Li Yuxin Pan Ruobing Chen Jie Liu Zilin Wang Yu Liu Zhiheng Li 50 0 0 13 Oct 2023
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning Fan Luo Tian Xu Xingchen Cao Yang Yu OffRL 37 7 0 09 Oct 2023
Rating-based Reinforcement Learning Devin White Mingkang Wu Ellen R. Novoseller Vernon J. Lawhern Nicholas R. Waytowich Yongcan Cao ALM 24 6 0 30 Jul 2023
Coherent Soft Imitation Learning Joe Watson Sandy H. Huang Nicholas Heess 36 11 0 25 May 2023
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning Daniel Waelchli Pascal Weber Petros Koumoutsakos AI4CE 27 4 0 17 May 2023
A proof of imitation of Wasserstein inverse reinforcement learning for multi-objective optimization Akira Kitaoka Riki Eto 8 1 0 17 May 2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions Xi Yang Ge Gao Min Chi OffRL 32 2 0 15 May 2023
Inverse Reinforcement Learning With Constraint Recovery Nirjhar Das Arpan Chattopadhyay 35 2 0 14 May 2023
A proof of convergence of inverse reinforcement learning for multi-objective optimization Akira Kitaoka Riki Eto 11 0 0 10 May 2023
BC-IRL: Learning Generalizable Reward Functions from Demonstrations Andrew Szot Amy Zhang Dhruv Batra Z. Kira Franziska Meier OOD OffRL 33 8 0 28 Mar 2023
Inverse Reinforcement Learning without Reinforcement Learning Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu 26 34 0 26 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
A Reinforcement Learning Framework for Online Speaker Diarization Baihan Lin Xinxin Zhang OffRL 39 2 0 21 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 39 13 0 15 Feb 2023
Imitating careful experts to avoid catastrophic events J.R.P. Hanslope Laurence Aitchison OffRL 38 0 0 02 Feb 2023
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning Jing Zhang Chi Zhang Wenjia Wang Bing-Yi Jing OffRL 37 7 0 28 Jan 2023
On The Fragility of Learned Reward Functions Lev McKinney Yawen Duan David M. Krueger Adam Gleave 33 20 0 09 Jan 2023
Task-Guided IRL in POMDPs that Scales Franck Djeumou Christian Ellis Murat Cubuktepe Craig T. Lennon Ufuk Topcu 219 0 0 30 Dec 2022
On the Sensitivity of Reward Inference to Misspecified Human Models Joey Hong Kush S. Bhatia Anca Dragan 27 24 0 09 Dec 2022
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking David Zhang Micah Carroll Andreea Bobu Anca Dragan 32 4 0 30 Nov 2022
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning Charles A. Hepburn Giovanni Montana OffRL 37 13 0 21 Nov 2022