LeTS-Drive: Driving in a Crowd by Learning from Tree Search

29 May 2019

Papers citing "LeTS-Drive: Driving in a Crowd by Learning from Tree Search"

21 / 21 papers shown

Title
Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving Ahmed Abouelazm Jonas Michel Helen Gremmelmaier Tim Joseph Philip Schorner Johann Marius Zöllner 106 0 0 10 May 2025
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving Ahmed Abouelazm Jonas Michel J. M. Zöllner 95 7 0 12 Apr 2024
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving Zhiyu Huang Chen Tang Chen Lv Masayoshi Tomizuka Wei Zhan 77 6 0 27 Jan 2024
Experience Filter: Using Past Experiences on Unseen Tasks or Environments Anil Yildiz Esen Yel Anthony Corso K. H. Wray Stefan J. Witwicki Mykel J. Kochenderfer OffRL 31 0 0 29 May 2023
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning Zirui Zhao W. Lee David Hsu LRM LLMAG LM&Ro 111 227 0 23 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 92 0 0 25 Apr 2023
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty Mohamad H. Danesh Panpan Cai David Hsu 90 7 0 23 Sep 2022
Deep Visual Navigation under Partial Observability Bo Ai Wei Gao Vinay David Hsu 78 11 0 16 Sep 2021
Robust Motion Planning in the Presence of Estimation Uncertainty Lars Lindemann Matthew Cleaveland Y. Kantaros George J. Pappas 100 13 0 26 Aug 2021
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter Hanbo Zhang Yunfan Lu Cunjun Yu David Hsu Xuguang Lan Nanning Zheng LM&Ro 98 66 0 25 Aug 2021
Measurable Monte Carlo Search Error Bounds John Mern Mykel J. Kochenderfer 27 2 0 08 Jun 2021
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter Hanbo Zhang Deyu Yang Han Wang Binglei Zhao Xuguang Lan Jishiyu Ding Nanning Zheng 82 41 0 29 Apr 2021
Reward (Mis)design for Autonomous Driving W. B. Knox A. Allievi Holger Banzhaf Felix Schmitt Peter Stone 148 118 0 28 Apr 2021
Closing the Planning-Learning Loop with Application to Autonomous Driving Panpan Cai David Hsu 79 14 0 11 Jan 2021
Distributed Map Classification using Local Observations Guangyi Liu Arash A. Amini Martin Takáč Hector Muñoz-Avila N. Motee OffRL 20 1 0 18 Dec 2020
Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles Kunming Li Mao Shan K. Narula Stewart Worrall E. Nebot HAI 38 33 0 23 Nov 2020
Simulating Autonomous Driving in Massive Mixed Urban Traffic Yuanfu Luo Panpan Cai Yiyuan Lee David Hsu 78 3 0 11 Nov 2020
MAGIC: Learning Macro-Actions for Online POMDP Planning Yiyuan Lee Panpan Cai David Hsu 142 23 0 07 Nov 2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts Gilwoo Lee Brian Hou Sanjiban Choudhury S. Srinivasa BDL OffRL 57 7 0 07 Feb 2020
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic Panpan Cai Yiyuan Lee Yuanfu Luo David Hsu 92 80 0 11 Nov 2019
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker Matej Moravcík Martin Schmid Neil Burch Viliam Lisý Dustin Morrill Nolan Bard Trevor Davis Kevin Waugh Michael Bradley Johanson Michael Bowling BDL 261 913 0 06 Jan 2017