Deep Imitative Models for Flexible Inference, Planning, and Control

15 October 2018

Papers citing "Deep Imitative Models for Flexible Inference, Planning, and Control"

38 / 38 papers shown

Title
Residual-MPPI: Online Policy Customization for Continuous Control Pengcheng Wang Chenran Li Catherine Weaver Kenta Kawamoto Masayoshi Tomizuka Chen Tang Wei Zhan OffRL 37 3 0 01 Jul 2024
Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels Abhay Deshpande Liyiming Ke Quinn Pfeifer Abhishek Gupta S. Srinivasa 47 1 0 29 May 2024
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving Adam R. Villaflor Brian Yang Huangyuan Su Katerina Fragkiadaki John M. Dolan Jeff Schneider 47 0 0 12 Mar 2024
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2) Qifeng Li Xiaosong Jia Shaobo Wang Junchi Yan 37 27 0 26 Feb 2024
Cognitive TransFuser: Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction Hwan-Soo Choi Jong-Lyul Jeong Young Cho Kuk-Jin Yoon Jong-hwan Kim 28 1 0 04 Aug 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning Geoffrey Cideron B. Tabanpour Sebastian Curi Sertan Girgin Léonard Hussenot Gabriel Dulac-Arnold M. Geist Olivier Pietquin Robert Dadashi OOD 84 2 0 02 May 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 41 0 0 25 Apr 2023
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios Yiren Lu Justin Fu George Tucker Xinlei Pan Eli Bronstein ... Brandyn White Aleksandra Faust Shimon Whiteson Drago Anguelov Sergey Levine OffRL 28 92 0 21 Dec 2022
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving Jonathan M Francis Bingqing Chen Weiran Yao Eric Nyberg Jean Oh OOD 32 5 0 16 Dec 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
Differentiable Raycasting for Self-supervised Occupancy Forecasting Tarasha Khurana Peiyun Hu Achal Dave Jason Ziglar David Held Deva Ramanan 13 67 0 04 Oct 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline Peng Wu Xiaosong Jia Li Chen Junchi Yan Hongyang Li Yu Qiao 35 182 0 16 Jun 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving Kashyap Chitta Aditya Prakash Bernhard Jaeger Zehao Yu Katrin Renz Andreas Geiger ViT 104 295 0 31 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 632 0 20 May 2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models Ali Ghadirzadeh Petra Poklukar Karol Arndt Chelsea Finn Ville Kyrki Danica Kragic Marten Bjorkman OffRL 22 1 0 18 Apr 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei-ping Xu Haonan Yu 38 10 0 24 Jan 2022
Causal Imitative Model for Autonomous Driving Mohammad Reza Samsami Mohammadhossein Bahari Saber Salehkaleybar Alexandre Alahi CML 21 12 0 07 Dec 2021
3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion Prediction Ching-Yu Tseng Po-Shao Lin Yu-Jia Liou Kuan-Chih Huang Winston H. Hsu 3DPC OOD 21 1 0 02 Dec 2021
Learning Interactive Driving Policies via Data-driven Simulation Tsun-Hsuan Wang Alexander Amini Wilko Schwarting Igor Gilitschenski S. Karaman Daniela Rus 19 20 0 23 Nov 2021
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles Alexander Amini Tsun-Hsuan Wang Igor Gilitschenski Wilko Schwarting Zhijian Liu Song Han S. Karaman Daniela Rus 16 98 0 23 Nov 2021
Self-Supervised Action-Space Prediction for Automated Driving Faris Janjos Maxim Dolgov J. Marius Zöllner 28 12 0 21 Sep 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 26 47 0 15 Jun 2021
Learning by Watching Jimuyang Zhang Eshed Ohn-Bar EgoV 41 33 0 10 Jun 2021
Signal Temporal Logic Synthesis as Probabilistic Inference Ki Myung Brian Lee C. Yoo Robert Fitch 23 8 0 13 May 2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving Aditya Prakash Kashyap Chitta Andreas Geiger ViT 51 510 0 19 Apr 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 26 70 0 12 Apr 2021
MP3: A Unified Model to Map, Perceive, Predict and Plan Sergio Casas Abbas Sadat R. Urtasun 3DV 27 223 0 18 Jan 2021
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections Junha Roh Christoforos Mavrogiannis Rishabh Madan Dieter Fox S. Srinivasa 24 29 0 08 Nov 2020
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach Wei Zhang Ning Liu Yunfeng Zhang 3DPC 18 20 0 20 Oct 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations Abbas Sadat Sergio Casas Mengye Ren Xinyu Wu Pranaab Dhawan R. Urtasun 3DV 38 191 0 13 Aug 2020
Data-efficient visuomotor policy training using reinforcement learning and generative models Ali Ghadirzadeh Petra Poklukar Ville Kyrki Danica Kragic Mårten Björkman OffRL 39 9 0 26 Jul 2020
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles Travis Manderson J. A. G. Higuera Stefan Wapnick J. Tremblay Florian Shkurti D. Meger Gregory Dudek 19 50 0 29 Jun 2020
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation Xinlei Pan Tingnan Zhang Brian Ichter Aleksandra Faust Jie Tan Sehoon Ha 57 25 0 27 Sep 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 30 20 0 03 Jul 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
Multimodal End-to-End Autonomous Driving Yi Xiao Felipe Codevilla A. Gurram O. Urfalioglu Antonio M. López 19 240 0 07 Jun 2019
Human Motion Trajectory Prediction: A Survey Andrey Rudenko Luigi Palmieri Michael Herman Kris M. Kitani D. Gavrila Kai O. Arras 34 726 0 15 May 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016