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Deep Reinforcement Learning Behavioral Mode Switching Using Optimal
  Control Based on a Latent Space Objective

Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective

3 June 2024
Sindre Benjamin Remman
Bjorn Andreas Kristiansen
A. Lekkas
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective"

2 / 2 papers shown
Title
Understanding How Dimension Reduction Tools Work: An Empirical Approach
  to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Yingfan Wang
Haiyang Huang
Cynthia Rudin
Yaron Shaposhnik
117
230
0
08 Dec 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
107
1,285
0
02 Feb 2020
1