Ranks of Disparity: New approach fixes flaw in fairness algorithms

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...
IEEE

Cooperative Algorithms for Multi-Agent Multi-Armed Bandits: Integrating $\varepsilon$-Greedy Optimization

Abstract: The multi-armed bandit framework is a wellestablished learning paradigm that enables sequential decisionmaking under uncertainty. This framework has been widely applied in various domains, ...
IEEE

Dominated Strategy Elimination Based on the Regret Minimization Algorithm

Abstract: Accelerating the convergence of algorithms to Nash equilibrium is an important issue in game theory. In many games, particularly in complex game scenarios, the strategy space is typically ...