Worldwide, with different frequencies and magnitudes, coastlines are increasingly being affected by climate change hazards. The high urbanization rate, due to economic opportunities and natural amenities, further exacerbates vulnerabilities in these areas, requiring prompt and effective...

We build a parsimonious agent-based model under the adaptive market hypothesis (AMH), which can explain the formation of equilibrium prices and market efficiency dynamics. Our model combines heterogeneous interacting agents, switching behavior, and investor feedback on past realized returns,...

Dynamic Stochastic General Equilibrium (DSGE) models are widely used as a tool for policy decision-making. These models lost their fame when they could not predict the crisis in 2008 and could not address policy problems afterward. Meanwhile, the Agent-Based Modelling (ABM) approach emerged as...

We develop a risk-neutral spot and equity option market simulator for a single underlying, under which the joint market process is a martingale. We leverage an efficient low-dimensional representation of the market which preserves no static arbitrage, and employ neural spline flows to simulate...

We analyze the individual and macroeconomic impacts of heterogeneous expectations and action rules within an agent-based model populated by heterogeneous, interacting firms. Agents have to cope with a complex evolving economy characterized by deep uncertainty resulting from technical change,...

This paper presents an agent-based simulation model of carbon emission trading market with heterogeneous agents. The carbon emission reduction strategies available to agents are production output adjustment strategy, carbon market emissions trading strategy, carbon emission abatement technology...

We propose a distributed randomized policy iteration algorithm for infinite horizon dynamic programming problems for which the control at each stage is m-dimensional. The traditional policy iteration algorithm involves performing a minimization over an m-dimensional constraint set and has a...

Team-competition in multi-agent games is an important setting, where multi-agent actor-critic methods are the state-of-the-art methods. In many such scenarios, the roles for players naturally emerge, thus aiding in collaboration within the teams. However, exiting methods for the team-competition...

Despite the rapid development of electric vehicles (EVs), the limited range and accessibility of charging infrastructure are still obstacles to the development of EVs. At present, the Chinese government has made great efforts to set up charging piles and the most popular construction mode of...