Divide-and-Evolve (DaE) is an original "memeticization" of Evolutionary Computation and Artificial Intelligence Planning. DaE optimizes either the number of actions, or t...
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Simulation plays a vital role in identifying the best system design from among a set of competing designs. To improve simulation efficiency, ranking and selection techniques are o...
Loo Hay Lee, Ek Peng Chew, Suyan Teng, David Golds...
Bandwidth allocation for different service classes in heterogeneous wireless networks is an important issue for service provider in terms of balancing service quality and profit. I...
Discrete optimization problemsarise throughout many real world domainsincluding planning, decision making, and search. NP-hardin general, these problems require novel approachesto...