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Constrained Optimal Fuel Consumption of HEV:Considering the
  Observational Perturbation

Constrained Optimal Fuel Consumption of HEV:Considering the Observational Perturbation

28 October 2024
Shuchang Yan
Haoran Sun
ArXivPDFHTML

Papers citing "Constrained Optimal Fuel Consumption of HEV:Considering the Observational Perturbation"

7 / 7 papers shown
Title
Constrained Optimal Fuel Consumption of HEV: A Constrained Reinforcement
  Learning Approach
Constrained Optimal Fuel Consumption of HEV: A Constrained Reinforcement Learning Approach
Shuchang Yan
33
1
0
12 Mar 2024
On the Robustness of Safe Reinforcement Learning under Observational
  Perturbations
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
Zuxin Liu
Zijian Guo
Zhepeng Cen
Huan Zhang
Jie Tan
Yue Liu
Ding Zhao
OOD
OffRL
77
36
0
29 May 2022
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke
Joshua Achiam
Pieter Abbeel
76
299
0
08 Jul 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on
  State Observations
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang
Hongge Chen
Chaowei Xiao
Yue Liu
Mingyan D. Liu
Duane S. Boning
Cho-Jui Hsieh
AAML
87
270
0
19 Mar 2020
Action Robust Reinforcement Learning and Applications in Continuous
  Control
Action Robust Reinforcement Learning and Applications in Continuous Control
Chen Tessler
Yonathan Efroni
Shie Mannor
67
235
0
26 Jan 2019
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
253
2,966
0
20 Mar 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
1