UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning

22 November 2021

Torsten Bertram

Papers citing "UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning"

26 / 26 papers shown

Title
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Shenghong He OffRL 168 0 0 10 Feb 2025
DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT Xiaotao Hu Wei Yin Mingkai Jia Junyuan Deng Xiaoyang Guo Qian Zhang Xiaoxiao Long Ping Tan VGen 49 10 0 31 Dec 2024
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 140 0 0 13 Oct 2024
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning Daniel Flögel Marcos Gómez Villafane Joshua Ransiek Sören Hohmann 28 0 0 16 Sep 2024
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning Zeyuan Liu Kai Yang Xiu Li OffRL 44 0 0 11 Jun 2024
State-Constrained Offline Reinforcement Learning Charles A. Hepburn Yue Jin Giovanni Montana OffRL 35 0 0 23 May 2024
World Models for Autonomous Driving: An Initial Survey Yanchen Guan Haicheng Liao Zhenning Li Jia Hu Runze Yuan Yunjian Li Guohui Zhang Chengzhong Xu 32 31 0 05 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 33 27 0 26 Feb 2024
Distilling LLMs' Decomposition Abilities into Compact Language Models Denis Tarasov Kumar Shridhar SyDa OffRL LRM 45 2 0 02 Feb 2024
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 29 6 0 04 Dec 2023
RiskBench: A Scenario-based Benchmark for Risk Identification Chi-Hsi Kung Chieh-Chi Yang Pang-Yuan Pao Shu-Wei Lu Pin-Lun Chen Hsin-Cheng Lu Yi-Ting Chen 39 5 0 04 Dec 2023
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving Yu-Quan Wang Jiawei He Lue Fan Hongxin Li Yuntao Chen Zhaoxiang Zhang VGen 61 116 0 29 Nov 2023
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments Zenan Li Fan Nie Q. Sun Fang Da Hang Zhao OffRL 23 3 0 28 Sep 2023
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills Zenan Li Fan Nie Q. Sun Fang Da Hang Zhao OffRL 36 6 0 24 Sep 2023
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control Christopher P. Diehl Janis Adamek Martin Krüger F. Hoffmann Torsten Bertram 16 4 0 21 Oct 2022
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 54 78 0 13 Oct 2022
State Advantage Weighting for Offline RL Jiafei Lyu Aicheng Gong Le Wan Zongqing Lu Xiu Li OffRL 33 9 0 09 Oct 2022
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination Jiafei Lyu Xiu Li Zongqing Lu OffRL 29 25 0 16 Jun 2022
Mildly Conservative Q-Learning for Offline Reinforcement Learning Jiafei Lyu Xiaoteng Ma Xiu Li Zongqing Lu OffRL 34 101 0 09 Jun 2022
Reward (Mis)design for Autonomous Driving W. B. Knox A. Allievi Holger Banzhaf Felix Schmitt Peter Stone 83 113 0 28 Apr 2021
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models Nicholas Rhinehart Jeff He Charles Packer Matthew A. Wright R. McAllister Joseph E. Gonzalez Sergey Levine 103 32 0 21 Apr 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 413 0 16 Feb 2021
Deep Structured Reactive Planning Jerry Liu Wenyuan Zeng R. Urtasun Ersin Yumer 74 30 0 18 Jan 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 154 408 0 25 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016