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ProSky: NEAT Meets NOMA-mmWave
The dataset used in this paper is a 3D downlink cellular network that covers an area A of L x L units in which a UAV serves a total of 2N users, uniformly distributed ground... -
Deep Reinforcement Learning Based Controller for Active Heave Compensation
Heave compensation is an essential part in various offshore operations. It is used in various applications, which include on-loading or off-loading systems, offshore drilling,... -
Human-level control through deep reinforcement learning
The dataset contains data from human-level control through deep reinforcement learning. -
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading
A DRL library for automated stock trading with a focus on completeness, hands-on tutorials, and reproducibility. -
Off-Policy Deep Reinforcement Learning without Exploration
The dataset used in the paper is a batch of data collected from a fixed batch of data which has already been gathered, without offering further possibility for data collection.
