Class PGAgent

constructor

• new PGAgent(env: RLEnvironmentBase, resolution?: number): PGAgent

• Parameters

  • env: RLEnvironmentBase

    Environment
  • Optionalresolution: number

    Resolution

  Returns PGAgent

_history

_table

get_action

• get_action(state: any[]): any[]

• Returns a action.

  Parameters

  • state: any[]

    Current states

  Returns any[]

  Action

get_score

• get_score(): number[][][]

• Returns a score.

  Returns number[][][]

  Score values

reset

• reset(): void

• Reset agent.

  Returns void

update

• update(
      action: any[],
      state: any[],
      reward: number,
      done: boolean,
      learning_rate: number,
  ): void

• Update model.

  Parameters

  • action: any[]

    Action
  • state: any[]

    Next states
  • reward: number

    Reward
  • done: boolean

    Done epoch or not
  • learning_rate: number

    Learning rate

  Returns void