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Reinforcement Learning with Iterative Reasoning for Merging in Dense
  Traffic

Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic

25 May 2020
Maxime Bouton
A. Nakhaei
David Isele
K. Fujimura
Mykel J. Kochenderfer
ArXivPDFHTML

Papers citing "Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic"

9 / 9 papers shown
Title
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial
  Traffic Flow
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
Interactive Trajectory Planner for Mandatory Lane Changing in Dense
  Non-Cooperative Traffic
Interactive Trajectory Planner for Mandatory Lane Changing in Dense Non-Cooperative Traffic
Xiangguo Liu
Jianxing Chen
Shanmin Li
Yajia Zhang
Hongtao Yu
F. Huang
Jiechao Liu
Chao Wang
Liyun Li
Qi Zhu
31
2
0
04 Mar 2023
Multi-Agent Path Integral Control for Interaction-Aware Motion Planning
  in Urban Canals
Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals
Lucas Streichenberg
Elia Trevisan
Jen Jen Chung
Roland Siegwart
Javier Alonso-Mora
23
11
0
13 Feb 2023
Predicting Parameters for Modeling Traffic Participants
Predicting Parameters for Modeling Traffic Participants
Ahmadreza Moradipari
S. Bae
M. Alizadeh
Ehsan Moradi-Pari
David Isele
28
5
0
26 Jan 2023
Game Theoretic Decision Making by Actively Learning Human Intentions
  Applied on Autonomous Driving
Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving
Siyu Dai
S. Bae
David Isele
24
2
0
22 Jan 2023
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement
  Learning
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning
Keuntaek Lee
David Isele
Evangelos A. Theodorou
S. Bae
26
24
0
17 Jan 2022
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep
  Q-Learning and Graph Attention Networks
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yu Liu
GNN
35
39
0
11 Aug 2021
Reinforcement Learning for Autonomous Driving with Latent State
  Inference and Spatial-Temporal Relationships
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
Xiaobai Ma
Jiachen Li
Mykel J. Kochenderfer
David Isele
K. Fujimura
15
61
0
09 Nov 2020
Runtime Safety Assurance Using Reinforcement Learning
Runtime Safety Assurance Using Reinforcement Learning
Christopher Lazarus
J. Lopez
Mykel J. Kochenderfer
16
18
0
20 Oct 2020
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