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Filtering by: Committee Member Vergara, Hector Degree Field Computer Science Subject Reinforcement learning

Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

Creator:

Moissinac, Béatrice

Abstract:

Auctions are used to solve resource allocation problem between many agents and many items in real-world settings. Unfortunately, in most cases, it is possible for selfish agents to manipulate the system for their own interest at the expense of the social welfare. Such manipulation can be prevented using the Vickrey-Clarke-Groves...

Resource Type:

Masters Thesis
Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping

Creator:

Curran, William

Abstract:

Air traffic flow management over the U.S. airpsace is a difficult problem. Current management approaches lead to hundreds of thousands of hours of delay, costing billions of dollars annually. Weather and airport conditions may instigate this delay, but routing decisions balancing delay with congestion contribute significantly to the propagation of...

Resource Type:

Masters Thesis