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Improving Automated Driving through POMDP Planning with Human Internal
  States

Improving Automated Driving through POMDP Planning with Human Internal States

28 May 2020
Zachary Sunberg
Mykel Kochenderfer
ArXivPDFHTML

Papers citing "Improving Automated Driving through POMDP Planning with Human Internal States"

5 / 5 papers shown
Title
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific
  Learning Rate
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
Fan Luo
Zuolin Tu
Zefang Huang
Yang Yu
OffRL
42
0
0
24 May 2024
Learning Online Belief Prediction for Efficient POMDP Planning in
  Autonomous Driving
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving
Zhiyu Huang
Chen Tang
Chen Lv
Masayoshi Tomizuka
Wei Zhan
42
5
0
27 Jan 2024
Robust Active Measuring under Model Uncertainty
Robust Active Measuring under Model Uncertainty
Merlijn Krale
T. D. Simão
Jana Tumova
Nils Jansen
27
0
0
18 Dec 2023
Automated Lane Merging via Game Theory and Branch Model Predictive Control
Automated Lane Merging via Game Theory and Branch Model Predictive Control
Luyao Zhang
Shaohang Han
S. Grammatico
36
3
0
25 Nov 2023
Active Uncertainty Reduction for Safe and Efficient Interaction
  Planning: A Shielding-Aware Dual Control Approach
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach
Haimin Hu
David Isele
S. Bae
J. F. Fisac
35
17
0
01 Feb 2023
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