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Uncertainty-Aware Decision Transformer for Stochastic Driving Environments

28 September 2023

Hang Zhao

Papers citing "Uncertainty-Aware Decision Transformer for Stochastic Driving Environments"

29 / 29 papers shown

Title
Critic-Guided Decision Transformer for Offline Reinforcement Learning Yuanfu Wang Chao Yang Yinghong Wen Yu Liu Yu Qiao OffRL 71 11 0 21 Dec 2023
Dichotomy of Control: Separating What You Can Control from What You Cannot Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 61 44 0 24 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 78 58 0 18 Oct 2022
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning Adam R. Villaflor Zheng Huang Swapnil Pande John M. Dolan J. Schneider OffRL 70 25 0 21 Jul 2022
Imitating Past Successes can be Very Suboptimal Benjamin Eysenbach Soumith Udatha Sergey Levine Ruslan Salakhutdinov OffRL 63 19 0 07 Jun 2022
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization Quanyi Li Zhenghao Peng Bolei Zhou 135 57 0 17 Feb 2022
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation Vincent Mai Kaustubh Mani Liam Paull 75 36 0 05 Jan 2022
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning Christopher P. Diehl Timo Sievernich Martin Krüger F. Hoffmann Torsten Bertram OffRL 90 27 0 22 Nov 2021
Generalized Decision Transformer for Offline Hindsight Information Matching Hiroki Furuta Y. Matsuo S. Gu OffRL 57 103 0 19 Nov 2021
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement Tianyu Shi Dong Chen Kaian Chen Zhaojian Li OffRL 89 31 0 13 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 288 910 0 12 Oct 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning Haoran Xu Xianyuan Zhan Xiangyu Zhu OffRL 65 90 0 19 Jul 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning Maximilian Seitzer Bernhard Schölkopf Georg Martius CML 69 77 0 07 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 142 684 0 03 Jun 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning Yue Wu Shuangfei Zhai Nitish Srivastava J. Susskind Jian Zhang Ruslan Salakhutdinov Hanlin Goh EDL OffRL OnRL 59 188 0 17 May 2021
End-to-end Interpretable Neural Motion Planner Wenyuan Zeng Wenjie Luo Simon Suo Abbas Sadat Binh Yang Sergio Casas R. Urtasun 3DV 82 409 0 17 Jan 2021
Planning from Pixels using Inverse Dynamics Models Keiran Paster Sheila A. McIlraith Jimmy Ba BDL 49 41 0 04 Dec 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 140 1,824 0 08 Jun 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Michael W. Dusenberry Ghassen Jerfel Yeming Wen Yi-An Ma Jasper Snoek Katherine A. Heller Balaji Lakshminarayanan Dustin Tran UQCV BDL 57 215 0 14 May 2020
A Survey of Autonomous Driving: Common Practices and Emerging Technologies Ekim Yurtsever Jacob Lambert Alexander Carballo K. Takeda 93 1,381 0 12 Jun 2019
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 132 1,249 0 29 Apr 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 61 265 0 20 Apr 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon 53 546 0 18 Apr 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 228 1,613 0 07 Dec 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 196 633 0 01 Jul 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 178 691 0 15 Nov 2017
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 135 5,173 0 10 Nov 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 354 4,709 0 15 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 824 9,318 0 06 Jun 2015