Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic

8 January 2019

Papers citing "Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic"

28 / 28 papers shown

Title
End-to-End Driving with Online Trajectory Evaluation via BEV World Model Yingyan Li Yuqi Wang Yang Liu Jiawei He Lue Fan Zhaoxiang Zhang OffRL 160 1 0 02 Apr 2025
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning Chan Kim Seung-Woo Seo Seong-Woo Kim OODD 158 0 0 21 Mar 2025
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 30 27 0 26 Feb 2024
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving Zhiyu Huang Haochen Liu Jingda Wu Wenhui Huang Chen Lv 31 17 0 08 Feb 2023
Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases Salar Arbabi D. Tavernini Saber Fallah Richard Bowden 32 7 0 31 Jul 2022
DayDreamer: World Models for Physical Robot Learning Philipp Wu Alejandro Escontrela Danijar Hafner Ken Goldberg Pieter Abbeel 47 277 0 28 Jun 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization Minghuan Liu Zhengbang Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao Yong Yu Jun Wang 27 11 0 04 Mar 2022
KINet: Unsupervised Forward Models for Robotic Pushing Manipulation Alireza Rezazadeh Changhyun Choi SSL 3DPC 27 3 0 18 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning Keuntaek Lee David Isele Evangelos A. Theodorou S. Bae 24 24 0 17 Jan 2022
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning Christopher P. Diehl Timo Sievernich Martin Krüger F. Hoffmann Torsten Bertram OffRL 18 25 0 22 Nov 2021
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 19 7 0 26 Oct 2021
Anti-Concentrated Confidence Bonuses for Scalable Exploration Jordan T. Ash Cyril Zhang Surbhi Goel A. Krishnamurthy Sham Kakade 35 6 0 21 Oct 2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients Oliver Scheel Luca Bergamini Maciej Wołczyk Bla.zej Osiñski Peter Ondruska 37 104 0 27 Sep 2021
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation A. Kamenev Lirui Wang Ollin Boer Bohan Ishwar Kulkarni Bilal Kartal Artem Molchanov Stan Birchfield David Nistér Nikolai Smolyanskiy 24 40 0 23 Sep 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning Luis Pineda Brandon Amos Amy Zhang Nathan Lambert Roberto Calandra OffRL 20 46 0 20 Apr 2021
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles Zahra Ghodsi S. Hari I. Frosio Timothy Tsai Alejandro J. Troccoli S. Keckler S. Garg Anima Anandkumar 27 40 0 12 Mar 2021
Learning the Predictability of the Future Dídac Surís Ruoshi Liu Carl Vondrick 21 71 0 01 Jan 2021
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 152 155 0 23 Jul 2020
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets Cong Fei Bin Wang Yuzheng Zhuang Zongzhang Zhang Jianye Hao Hongbo Zhang Xuewu Ji Wulong Liu 25 25 0 19 May 2020
CoverNet: Multimodal Behavior Prediction using Trajectory Sets Tung Phan-Minh E. Grigore Freddy A. Boulton Oscar Beijbom Eric M. Wolff 30 378 0 23 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 14 31 0 01 Nov 2019
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books Haoran Wei Yuanbo Wang L. Mangu Keith S. Decker 13 24 0 09 Oct 2019
Driving in Dense Traffic with Model-Free Reinforcement Learning D. Saxena S. Bae A. Nakhaei K. Fujimura Maxim Likhachev 19 86 0 15 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 17 53 0 25 Aug 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 25 374 0 10 Jun 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012