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Found 6 papers, 0 papers with code
A Sequential Deep Learning Algorithm for Sampled Mixed-integer Optimisation Problems
At each iteration step of both algorithms, we first test the feasibility of a given test solution for each and every constraint associated with the sampled optimisation at hand, while also identifying those constraints that are violated.
Controllability of a Class of Swarm Signaling Networks
In this paper, we propose closed-form analytical expressions to determine the minimum number of driver nodes that is needed to control a specific class of networks.
External light control of three-dimensional ultrashort far-infrared pulses in an inhomogeneous array of carbon nanotubes
We present a study of the propagation of three-dimensional (3D) bipolar electromagnetic ultrashort pulses in an inhomogeneous array of semiconductor carbon nanotubes (CNTs) in the presence of a control high-frequency (HF) electric field.
Optics Pattern Formation and Solitons
Self-Organizing Maps for Storage and Transfer of Knowledge in Reinforcement Learning
In this work, we describe a novel approach for reusing previously acquired knowledge by using it to guide the exploration of an agent while it learns new tasks.
Self-Organizing Maps as a Storage and Transfer Mechanism in Reinforcement Learning
The idea of reusing information from previously learned tasks (source tasks) for the learning of new tasks (target tasks) has the potential to significantly improve the sample efficiency reinforcement learning agents.
Experience Replay Using Transition Sequences
Experience replay is one of the most commonly used approaches to improve the sample efficiency of reinforcement learning algorithms.
