Results 1 to 10 of about 5,534,457 (290)
De novo learning versus adaptation of continuous control in a manual tracking task [PDF]
eLife, 2021 How do people learn to perform tasks that require continuous adjustments of motor output, like riding a bicycle? People rely heavily on cognitive strategies when learning discrete movement tasks, but such time-consuming strategies are infeasible in ...
Christopher S Yang +2 more
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Optimizing trajectories for highway driving with offline reinforcement learning
Frontiers in Future Transportation, 2023 Achieving feasible, smooth and efficient trajectories for autonomous vehicles which appropriately take into account the long-term future while planning, has been a long-standing challenge.
Branka Mirchevska +3 more
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Results of decision support system implementation for prescribing anticoagulants to patients with atrial fibrillation in hospital [PDF]
Терапевтический архив, 2020 Background. In 819% of patients with atrial fibrillation (AF) with anticoagulant therapy (ACT), hemorrhagic complications occur, including due to excess doses of AC.
A. A. Chernov +6 more
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2023 IEEE Conference on Games (CoG), 2023 Non-parametric episodic memory can be used to quickly latch onto high-rewarded experience in reinforcement learning tasks. In contrast to parametric deep reinforcement learning approaches in which reward signals need to be back-propagated slowly, these methods only need to discover the solution once, and may then repeatedly solve the task.
Yang, Z. +3 more
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Decentralized Multi-Agent Control of a Manipulator in Continuous Task Learning
Applied Sciences, 2021 Many real-world tasks require multiple agents to work together. When talking about multiple agents in robotics, it is usually referenced to multiple manipulators in collaboration to solve a given task, where each one is controlled by a single agent ...
Asad Ali Shahid +5 more
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Refined Continuous Control of DDPG Actors via Parametrised Activation
AI, 2021 Continuous action spaces impose a serious challenge for reinforcement learning agents. While several off-policy reinforcement learning algorithms provide a universal solution to continuous control problems, the real challenge lies in the fact that ...
Mohammed Hossny +4 more
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Leveraging an Experience-Based Codesign Approach to Improve the Inpatient Food Service Experience [PDF]
Global Journal on Quality and Safety in Healthcare, 2023 Introduction Hospital food service is a key patient experience domain in an inpatient setting, which also plays an important role in responding to clinical and nutritional needs by providing food that is acceptable to patients.
Muhammad Hasan Abid +3 more
doaj +1 more source
IET Smart Grid, 2020 Voltage control devices are employed in power distribution systems to reduce the power consumption by operating the system closer to the lower acceptable voltage limits; this technique is called conservation voltage reduction (CVR).
Rahul R. Jha +2 more
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Actuators, 2021 For the position control of a planar 3-linkage underactuated manipulator (PTUM) with a passive first linkage, a continuous control strategy is developed in this paper.
Siyu Chen +3 more
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