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Found 6 papers, 0 papers with code
Stochastic Wasserstein Gradient Flows using Streaming Data with an Application in Predictive Maintenance
Since estimation problems can be posed as optimization problems in the probability space, we devise a stochastic projected Wasserstein gradient flow that keeps track of the belief of the estimated quantity and can consume samples from online data.
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
In this paper, we explore optimal transport discrepancies (which include the Wasserstein distance) to define trust regions, and we propose a novel algorithm - Optimal Transport Trust Region Policy Optimization (OT-TRPO) - for continuous state-action spaces.
Modeling of Political Systems using Wasserstein Gradient Flows
The study of complex political phenomena such as parties' polarization calls for mathematical models of political systems.
On the Interplay between Self-Driving Cars and Public Transportation
Cities worldwide struggle with overloaded transportation systems and their externalities.
Analysis and Control of Autonomous Mobility-on-Demand Systems
We provide a comprehensive review of methods and tools to model and solve problems related to autonomous mobility-on-demand systems.
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions
This requires tools to study such a coupling and co-design mobility systems in terms of different objectives.
