Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
Learning agile skills via adversarial imitation of rough partial demonstrations
Learning agile skills is one of the main challenges in robotics. To this end, reinforcement
learning approaches have achieved impressive results. These methods require explicit task …
learning approaches have achieved impressive results. These methods require explicit task …
An ai-empowered infrastructure for risk prevention during medical examination
A medical examination at Nuclear Medicine Department (NMD) carries out at multiple
stages. Patients are accompanied and guided by nurses during their movements within the …
stages. Patients are accompanied and guided by nurses during their movements within the …
Learning and assessing optimal dynamic treatment regimes through cooperative imitation learning
Dynamic Treatment Regimes (DTRs) are sets of sequential decision rules that can be
adapted over time to treat patients with a specific pathology. DTR consists of alternative …
adapted over time to treat patients with a specific pathology. DTR consists of alternative …
Human-Like Implicit Intention Expression for Autonomous Driving Motion Planning Based on Learning Human Intenion Priors
One of the key factors determining whether autonomous vehicles (AVs) can be seamlessly
integrated into existing traffic systems is their ability to interact smoothly and efficiently with …
integrated into existing traffic systems is their ability to interact smoothly and efficiently with …
A study of inverse reinforcement learning and its implementation
C Zhang, G Jing, S Zuo… - … Symposium on Computer …, 2023 - spiedigitallibrary.org
When dealing with complex tasks, such as robots imitating human actions and autonomous
vehicles driving in urban environments, it can be difficult to determine the reward function of …
vehicles driving in urban environments, it can be difficult to determine the reward function of …