Class GeneticAlgorithmGeneration

constructor

• new GeneticAlgorithmGeneration(
      env: RLEnvironmentBase,
      size?: number,
      resolution?: number,
  ): GeneticAlgorithmGeneration

• Parameters

  • env: RLEnvironmentBase

    Environment
  • Optionalsize: number

    Number of models per generation
  • Optionalresolution: number

    Resolution

  Returns GeneticAlgorithmGeneration

_env

_model

_resolution

get_score

• get_score(): number[][][]

• Returns a score.

  Returns number[][][]

  Score values

next

• next(mutation_rate?: number): void

• Update agent to new generation.

  Parameters

  • Optionalmutation_rate: number

    Mutation rate

  Returns void

reset

• reset(): void

• Reset all agents.

  Returns void

run

• run(): void

• Run for all agents.

  Returns void

top_agent

• top_agent(): GeneticAlgorithmAgent

• Returns the best score agent.

  Returns GeneticAlgorithmAgent

  Best agent