ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.02179
  4. Cited By
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical
  Reinforcement Learning Approach

Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach

4 February 2023
Yigit Gurses
Kaan Buyukdemirci
Y. Yildiz
ArXivPDFHTML

Papers citing "Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach"

3 / 3 papers shown
Title
A Rule-Compliance Path Planner for Lane-Merge Scenarios Based on
  Responsibility-Sensitive Safety
A Rule-Compliance Path Planner for Lane-Merge Scenarios Based on Responsibility-Sensitive Safety
Pengfei Lin
Ehsan Javanmardi
Yuze Jiang
Manabu Tsukada
27
0
0
20 Mar 2024
Designing Rewards for Fast Learning
Designing Rewards for Fast Learning
Henry Sowerby
Zhi-Hua Zhou
Michael L. Littman
18
13
0
30 May 2022
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
153
1,630
0
02 Feb 2020
1