Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments

8 July 2016

Markus Wulfmeier

Papers citing "Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments"

28 / 28 papers shown

Title
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles Sorin Grigorescu Mihai V. Zaha AI4CE 39 0 0 02 Apr 2025
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions Vibha Bharilya Neetesh Kumar 31 47 0 12 Jul 2023
DeePLT: Personalized Lighting Facilitates by Trajectory Prediction of Recognized Residents in the Smart Home D. Safaei Ali Sobhani M. Fakhredanesh 30 5 0 17 Apr 2023
Deep Q-Network Based Decision Making for Autonomous Driving M. Ronecker Yuan-xian Zhu 21 32 0 21 Mar 2023
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives Siyu Teng Xuemin Hu Peng Deng Bai Li Yuchen Li ... Yunfeng Ai Lingxi Li Zhe Xuanyuan F. Zhu Long Chen 40 336 0 17 Mar 2023
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking David Zhang Micah Carroll Andreea Bobu Anca Dragan 24 4 0 30 Nov 2022
Aligning Robot Representations with Humans Andreea Bobu Andi Peng 27 0 0 15 May 2022
Robot navigation from human demonstration: learning control behaviors with environment feature maps Maggie B. Wigness J. Rogers L. Navarro-Serment 4 44 0 06 May 2022
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search Karl Kurzer M. Bitzer J. Marius Zöllner 6 6 0 14 Feb 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei-ping Xu Haonan Yu 38 10 0 24 Jan 2022
Inducing Structure in Reward Learning by Learning Features Andreea Bobu Marius Wiggert Claire Tomlin Anca Dragan 27 30 0 18 Jan 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
Learning Perceptual Concepts by Bootstrapping from Human Queries Andreea Bobu Chris Paxton Wei Yang Balakumar Sundaralingam Yu-Wei Chao Maya Cakmak Dieter Fox SSL 30 17 0 09 Nov 2021
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning A. Mohtasib Gerhard Neumann Heriberto Cuayáhuitl 18 16 0 06 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 90 6 0 31 Jul 2021
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior Bassam Helou Aditya Dusi Anne-Sophie Collin N. Mehdipour Zhiliang Chen Cristhian G. Lizarazo C. Belta Tichakorn Wongpiromsarn R. D. Tebbens Oscar Beijbom 29 21 0 28 Jul 2021
Feature Expansive Reward Learning: Rethinking Human Input Andreea Bobu Marius Wiggert Claire Tomlin Anca Dragan 22 44 0 23 Jun 2020
Learning Navigation Costs from Demonstration with Semantic Observations Tianyu Wang Vikas Dhiman Nikolay Atanasov 22 4 0 09 Jun 2020
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving Donghao Xu Zhezhang Ding Xu He Huijing Zhao M. Moze François Aioun F. Guillemard 6 51 0 23 May 2020
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans Nachiket Deo Mohan M. Trivedi 24 148 0 03 Jan 2020
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 24 32 0 16 Sep 2019
NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles Sorin Grigorescu Bogdan Trasnea L. Marina Andrei Vasilcoi Tiberiu T. Cocias 24 38 0 26 Jun 2019
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation G. Kahn Adam R. Villaflor Pieter Abbeel Sergey Levine SSL OffRL 30 19 0 16 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 37 71 0 30 Sep 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 27 66 0 31 May 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations Mark Pfeiffer Samarth Shukla M. Turchetta Cesar Cadena Andreas Krause Roland Siegwart Juan I. Nieto 16 157 0 18 May 2018
Unsupervised Perceptual Rewards for Imitation Learning P. Sermanet Kelvin Xu Sergey Levine SSL 19 156 0 20 Dec 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012