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GEEvo: Game Economy Generation and Balancing
The dataset used in the paper is a set of generated game economies and balancing objectives. -
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence
DARLEI is a framework that combines evolutionary algorithms with parallelized reinforcement learning for efficiently training and evolving populations of UNIMAL agents. -
Genetic Algorithm and CMA-ES runs
The dataset used in the paper is a set of 30 runs of the Genetic Algorithm and CMA-ES algorithms. -
ACoS Dataset
The dataset used in the paper is a collection of 30 test functions with 30 and 50 dimensions, used for evaluating the performance of the Adaptive Coordinate System (ACoS)... -
LeadingOnes
The dataset used in the paper is the LeadingOnes problem, a maximization problem where the goal is to find the maximum number of leading ones in a binary string.
