Results 1 to 10 of about 56,445 (25)

Optimality and sustainability of hybrid limit cycles in the pollution control problem with regime shifts [PDF]

, 2022
In this paper, we consider the problem of pollution control in a system that undergoes regular regime shifts. We first show that the optimal policy of pollution abatement is periodic as well, and is described by the unique hybrid limit cycle. We next introduce the notion of an environmentally sustainable solution, and demonstrate that such a policy is ...
arxiv   +1 more source

Implementing result-based agri-environmental payments by means of modelling [PDF]

Payments by modelled results: a novel design for agri-environmental schemes. Land Use Policy 102: 105230 (2017), 2019
From a theoretical point of view, result-based agri-environmental payments are clearly preferable to action-based payments. However, they suffer from two major practical disadvantages: costs of measuring the results and payment uncertainty for the participating farmers. In this paper, we propose an alternative design to overcome these two disadvantages
arxiv   +1 more source

Does Environmental Attention by Governments Promote Carbon Reductions [PDF]

arXiv, 2023
The carbon-reducing effect of attention is scarcer than that of material resources, and when the government focuses its attention on the environment, resources will be allocated in a direction that is conducive to reducing carbon. Using panel data from 30 Chinese provinces from 2007 to 2019, this study revealed the impact of governments' environmental ...
arxiv  

Beyond Residence: A Mobility-based Approach for Improved Evaluation of Human Exposure to Environmental Hazards [PDF]

arXiv, 2023
Evaluating human exposure to environmental hazards is crucial for identifying susceptible communities and devising targeted health policies. Standard environmental hazard exposure assessment methods have been primarily based on place of residence, an approach which neglect individuals hazard exposures due to the daily life activities and mobility ...
arxiv  

Improved Aircraft Environmental Impact Segmentation via Metric Learning [PDF]

arXiv, 2023
Accurate modeling of aircraft environmental impact is pivotal to the design of operational procedures and policies to mitigate negative aviation environmental impact. Aircraft environmental impact segmentation is a process which clusters aircraft types that have similar environmental impact characteristics based on a set of aircraft features.
arxiv  

Power and accountability in reinforcement learning applications to environmental policy [PDF]

Conference Proceedings on Neural Information Processing Systems, 2021 https://openreview.net/forum?id=6OnoKEFVD_G, 2022
Machine learning (ML) methods already permeate environmental decision-making, from processing high-dimensional data on earth systems to monitoring compliance with environmental regulations. Of the ML techniques available to address pressing environmental problems (e.g., climate change, biodiversity loss), Reinforcement Learning (RL) may both hold the ...
arxiv  

The Power of Linear Controllers in LQR Control [PDF]

arXiv, 2020
The Linear Quadratic Regulator (LQR) framework considers the problem of regulating a linear dynamical system perturbed by environmental noise. We compute the policy regret between three distinct control policies: i) the optimal online policy, whose linear structure is given by the Ricatti equations; ii) the optimal offline linear policy, which is the ...
arxiv  

IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates [PDF]

arXiv, 2020
Model-free reinforcement learning (RL) is a powerful tool to learn a broad range of robot skills and policies. However, a lack of policy interpretability can inhibit their successful deployment in downstream applications, particularly when differences in environmental conditions may result in unpredictable behaviour or generalisation failures.
arxiv  

CropGym: a Reinforcement Learning Environment for Crop Management [PDF]

arXiv, 2021
Nitrogen fertilizers have a detrimental effect on the environment, which can be reduced by optimizing fertilizer management strategies. We implement an OpenAI Gym environment where a reinforcement learning agent can learn fertilization management policies using process-based crop growth models and identify policies with reduced environmental impact. In
arxiv  

A Probit Estimation of Urban Bases of Environmental Awareness: Evidence from Sylhet City, Bangladesh [PDF]

Development Compilation, Volume 09, Issue 01 (2013), 2021
This paper evaluates the significant factors contributing to environmental awareness among individuals living in the urban area of Sylhet, Bangladesh. Ordered Probit(OPM) estimation is applied on the value of ten measures of individual environmental concern.
arxiv