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
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations A. Mohtasib Amir Ghalamzan Nicola Bellotto Heriberto Cuay´ahuitl 13 1 0 01 Jul 2021
Objective-aware Traffic Simulation via Inverse Reinforcement Learning Guanjie Zheng Hanyang Liu Kai Xu Z. Li 29 11 0 20 May 2021
Inverse Reinforcement Learning: A Control Lyapunov Approach Samuel Tesfazgi Armin Lederer Sandra Hirche 22 6 0 09 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos Annie S. Chen Suraj Nair Chelsea Finn 38 137 0 31 Mar 2021
WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata Tianyu Wang Nikolay Atanasov 40 0 0 10 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 20 520 0 04 Feb 2021
Semi-supervised reward learning for offline reinforcement learning Ksenia Konyushkova Konrad Zolna Y. Aytar Alexander Novikov Scott E. Reed Serkan Cabi Nando de Freitas SSL OffRL 73 23 0 12 Dec 2020
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning Jinwook Huh Volkan Isler Daniel D. Lee 3DV 41 20 0 10 Dec 2020
Offline Learning from Demonstrations and Unlabeled Experience Konrad Zolna Alexander Novikov Ksenia Konyushkova Çağlar Gülçehre Ziyun Wang Y. Aytar Misha Denil Nando de Freitas Scott E. Reed SSL OffRL 32 67 0 27 Nov 2020
Inverse Constrained Reinforcement Learning Usman Anwar Shehryar Malik Alireza Aghasi Ali Ahmed 18 58 0 19 Nov 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization Sreejith Balakrishnan Q. Nguyen Bryan Kian Hsiang Low Harold Soh 22 26 0 17 Nov 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks Zheng Wu Wenzhao Lian Vaibhav Unhelkar Masayoshi Tomizuka S. Schaal 8 37 0 17 Nov 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
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 13 72 0 09 Nov 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations Neha Das Sarah Bechtle Todor Davchev Dinesh Jayaraman Akshara Rai Franziska Meier 121 82 0 18 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
Learning "What-if" Explanations for Sequential Decision-Making Ioana Bica Daniel Jarrett Alihan Huyuk M. Schaar OffRL 21 2 0 02 Jul 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 34 65 0 01 Jul 2020
Feature Expansive Reward Learning: Rethinking Human Input Andreea Bobu Marius Wiggert Claire Tomlin Anca Dragan 30 44 0 23 Jun 2020
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving Zheng Wu Liting Sun Wei Zhan Chenyu Yang Masayoshi Tomizuka 8 93 0 22 Jun 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 33 3 0 18 Jun 2020
Model Embedding Model-Based Reinforcement Learning Xiao Tan Chao Qu Junwu Xiong James Y. Zhang OffRL 24 0 0 16 Jun 2020
Learning Navigation Costs from Demonstration with Semantic Observations Tianyu Wang Vikas Dhiman Nikolay Atanasov 38 4 0 09 Jun 2020
Stealing Deep Reinforcement Learning Models for Fun and Profit Kangjie Chen Shangwei Guo Tianwei Zhang Xiaofei Xie Yang Liu MLAU MIACV OffRL 24 45 0 09 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 26 124 0 08 Jun 2020
Cross-Domain Imitation Learning with a Dual Structure Sungho Choi Seungyul Han Woojun Kim Y. Sung 24 2 0 02 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 38 17 0 27 May 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 40 243 0 15 May 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
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks Bohan Wu Feng Xu Zhanpeng He Abhi Gupta Peter K. Allen OffRL 23 13 0 10 Mar 2020
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate Yufeng Zhang Qi Cai Zhuoran Yang Zhaoran Wang 116 12 0 08 Mar 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 53 35 0 25 Feb 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 18 86 0 25 Feb 2020
Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion Siddhant Gangapurwala Alexander L. Mitchell Ioannis Havoutis 27 54 0 22 Feb 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 39 101 0 21 Feb 2020
Reward-rational (implicit) choice: A unifying formalism for reward learning Hong Jun Jeon S. Milli Anca Dragan 17 176 0 12 Feb 2020
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning Fei Ye Xuxin Cheng Pin Wang Ching-yao Chan Jiucai Zhang 21 98 0 07 Feb 2020
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections Andreea Bobu Andrea V. Bajcsy J. F. Fisac Sampada Deglurkar Anca Dragan 32 41 0 03 Feb 2020
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans Minae Kwon Erdem Biyik Aditi Talati Karan Bhasin Dylan P. Losey Dorsa Sadigh 19 98 0 13 Jan 2020
On Computation and Generalization of Generative Adversarial Imitation Learning Minshuo Chen Yizhou Wang Tianyi Liu Zhuoran Yang Xingguo Li Zhaoran Wang T. Zhao 39 40 0 09 Jan 2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation Letian Chen Rohan R. Paleja Muyleng Ghuy Matthew C. Gombolay 30 38 0 02 Jan 2020
Adversarial recovery of agent rewards from latent spaces of the limit order book Jacobo Roa-Vicens Yuanbo Wang Virgile Mison Y. Gal Ricardo M. A. Silva 23 3 0 09 Dec 2019
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning Tien Mai K. Chan Patrick Jaillet CML 24 4 0 16 Nov 2019
Non-Cooperative Inverse Reinforcement Learning Xiangyuan Zhang Kaipeng Zhang Erik Miehling Tamer Basar 15 22 0 03 Nov 2019
A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning Somil Bansal Andrea V. Bajcsy Ellis Ratner Anca Dragan Claire Tomlin 8 29 0 29 Oct 2019
Model-based Behavioral Cloning with Future Image Similarity Learning Alan Wu A. Piergiovanni Michael S. Ryoo OffRL 34 14 0 08 Oct 2019
Task-Relevant Adversarial Imitation Learning Konrad Zolna Scott E. Reed Alexander Novikov Sergio Gomez Colmenarejo David Budden Serkan Cabi Misha Denil Nando de Freitas Ziyun Wang GAN 28 61 0 02 Oct 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
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning Zeyu Zhu Nan Li Ruoyu Sun Huijing Zhao Donghao Xu 29 32 0 16 Sep 2019