Now showing items 1-2 of 2

  • Diversity and Novelty as Objectives in Poker 

    Pauli de Castro Bonson, Jéssica (2016-08-18)
    Evolutionary algorithms are capable to lead to efficient solutions without a predefined design and few human bias. However, they can be prone to early convergence and may be deceived by a non-informative or deceptive fitness ...
  • Reinforcement Learning with Real Valued Tangled Program Graphs 

    Amaral, Ryan (2021-08-27)
    Tangled Program Graphs (TPG) represents a framework for evolving programs under an explicitly emergent model for modularity. The framework has been very successful at discovering solutions to tasks with delayed rewards ...