Emerging Trends in Machine Learning assisted Optimization Techniques Across Intelligent Transportation Systems
Artificial intelligence (AI) plays a critical role in Intelligent Transport Systems (ITS) as urban
areas grow by processing data for safety enhancements, predictive analysis, and traffic …
areas grow by processing data for safety enhancements, predictive analysis, and traffic …
Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling
A Kumar, I Kuzovkin - arXiv preprint arXiv:2212.08232, 2022 - arxiv.org
Recent advances in batch (offline) reinforcement learning have shown promising results in
learning from available offline data and proved offline reinforcement learning to be an …
learning from available offline data and proved offline reinforcement learning to be an …
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
Model-based offline reinforcement Learning (RL) is a promising approach that leverages
existing data effectively in many real-world applications, especially those involving high …
existing data effectively in many real-world applications, especially those involving high …