Zobrazeno 1 - 10
of 278
pro vyhledávání: '"Mason, Karl"'
Autor:
Mason, Karl, Kelly, Daniel
This paper presents Low-cost Marine Autonomous Robotic Vehicle Explorer (Lo-MARVE), a novel autonomous underwater vehicle (AUV) designed to provide a low cost solution for underwater exploration and environmental monitoring in shallow water environme
Externí odkaz:
http://arxiv.org/abs/2411.08605
Many decision-making problems feature multiple objectives where it is not always possible to know the preferences of a human or agent decision-maker for different objectives. However, demonstrated behaviors from the decision-maker are often available
Externí odkaz:
http://arxiv.org/abs/2409.20258
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments
Effective residential appliance scheduling is crucial for sustainable living. While multi-objective reinforcement learning (MORL) has proven effective in balancing user preferences in appliance scheduling, traditional MORL struggles with limited data
Externí odkaz:
http://arxiv.org/abs/2407.11489
Dairy farms consume a significant amount of electricity for their operations, and this research focuses on enhancing energy efficiency and minimizing the impact on the environment in the sector by maximizing the utilization of renewable energy source
Externí odkaz:
http://arxiv.org/abs/2407.01653
In this paper, we explore the optimization of hyperparameters for the Soft Actor-Critic (SAC) and Proximal Policy Optimization (PPO) algorithms using the Tree-structured Parzen Estimator (TPE) in the context of robotic arm control with seven Degrees
Externí odkaz:
http://arxiv.org/abs/2407.02503
Farm businesses are increasingly adopting renewables to enhance energy efficiency and reduce reliance on fossil fuels and the grid. This shift aims to decrease dairy farms' dependence on traditional electricity grids by enabling the sale of surplus r
Externí odkaz:
http://arxiv.org/abs/2405.12716
Multi-objective reinforcement learning (MORL) is increasingly relevant due to its resemblance to real-world scenarios requiring trade-offs between multiple objectives. Catering to diverse user preferences, traditional reinforcement learning faces amp
Externí odkaz:
http://arxiv.org/abs/2404.03997
Dairy farming consumes a significant amount of energy, making it an energy-intensive sector within agriculture. Integrating renewable energy generation into dairy farming could help address this challenge. Effective battery management is important fo
Externí odkaz:
http://arxiv.org/abs/2403.09499
The agricultural sector is facing mounting demands to enhance energy efficiency within farm enterprises, concurrent with a steady escalation in electricity costs. This paper focuses on modelling the adoption rate of photovoltaic (PV) energy within th
Externí odkaz:
http://arxiv.org/abs/2401.16222
To achieve desired carbon emission reductions, integrating renewable generation and accelerating the adoption of peer-to-peer energy trading is crucial. This is especially important for energy-intensive farming, like dairy farming. However, integrati
Externí odkaz:
http://arxiv.org/abs/2310.05932