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07/29/2023
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes
Reinforcement learning has been greatly improved in recent studies and a...
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06/20/2023
A Passivity-Based Method for Accelerated Convex Optimisation
This study presents a constructive methodology for designing accelerated...
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12/30/2022
An Auction-based Coordination Strategy for Task-Constrained Multi-Agent Stochastic Planning with Submodular Rewards
In many domains such as transportation and logistics, search and rescue,...
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09/08/2022
Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction
This study presents incremental correction methods for refining neural n...
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03/05/2022
Bayesian Learning Approach to Model Predictive Control
This study presents a Bayesian learning perspective towards model predic...
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01/17/2022
Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient
This study presents a policy optimisation framework for structured nonli...
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10/25/2021
Variational Probabilistic Multi-Hypothesis Tracking
This paper proposes a novel multi-target tracking (MTT) algorithm for sc...
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03/09/2021
Computational Impact Time Guidance: A Learning-Based Prediction-Correction Approach
This paper investigates the problem of impact-time-control and proposes ...
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02/27/2020
Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds
Usually, Neural Networks models are trained with a large dataset of imag...
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02/27/2020
Target Detection, Tracking and Avoidance System for Low-cost UAVs using AI-Based Approaches
An onboard target detection, tracking and avoidance system has been deve...
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09/03/2019
Threshold Greedy Based Task Allocation for Multiple Robot Operations
This paper deals with large-scale decentralised task allocation problems...
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08/19/2019
Computational Flight Control: A Domain-Knowledge-Aided Deep Reinforcement Learning Approach
This papers aims to examine the potential of using the emerging deep rei...
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01/10/2019
Sample Greedy Based Task Allocation for Multiple Robot Systems
This paper addresses the task allocation problem for multi-robot systems...
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11/19/2018
Fast submodular maximization subject to k-extendible system constraints
As the scales of data sets expand rapidly in some application scenarios,...
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11/18/2017
Anonymous Hedonic Game for Task Allocation in a Large-Scale Multiple Agent System
This paper proposes a novel game-theoretical autonomous decision-making ...
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11/18/2017