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. 2210.03209
  4. Cited By
Self-Adaptive Driving in Nonstationary Environments through Conjectural
  Online Lookahead Adaptation

Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation

6 October 2022
Tao Li
Haozhe Lei
Quanyan Zhu
ArXivPDFHTML

Papers citing "Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation"

5 / 5 papers shown
Title
From Texts to Shields: Convergence of Large Language Models and Cybersecurity
From Texts to Shields: Convergence of Large Language Models and Cybersecurity
Tao Li
Ya-Ting Yang
Yunian Pan
Quanyan Zhu
34
0
0
01 May 2025
Cognitive Level-$k$ Meta-Learning for Safe and Pedestrian-Aware
  Autonomous Driving
Cognitive Level-kkk Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving
Haozhe Lei
Quanyan Zhu
20
0
0
17 Dec 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
165
1,632
0
02 Feb 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep
  Reinforcement Learning
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen
Shengbo Eben Li
M. Tomizuka
52
224
0
23 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
1