Class WaterballRLEnvironment

Waterball environment

Hierarchy (View Summary)

Constructors

constructor

Properties

__state __states _agent_max_velocity _agent_p _agent_radius _agent_v _agent_velocity_step _ball_max_velocity _ball_min_velocity _ball_radius _balls _cos _epoch _height _history_state _history_state_size _max_position _max_size _min_position _sensor_count _sensor_length _sin _width

Accessors

actions current_state epoch reward states

Methods

addBall clone reset sample_action setState state step test

Constructors

constructor

Properties

__state

__state: any

__states

__states: RLRealRange[]

_agent_max_velocity

_agent_max_velocity: number

_agent_p

_agent_p: number[]

_agent_radius

_agent_radius: number

_agent_v

_agent_v: number[]

_agent_velocity_step

_agent_velocity_step: number

_ball_max_velocity

_ball_max_velocity: number

_ball_min_velocity

_ball_min_velocity: number

_ball_radius

_ball_radius: number

_balls

_balls: any[]

_cos

_cos: number[]

_epoch

_epoch: number

_height

_height: number

_history_state

_history_state: any[]

_history_state_size

_history_state_size: number

_max_position

_max_position: number[]

_max_size

_max_size: number

_min_position

_min_position: number[]

_sensor_count

_sensor_count: number

_sensor_length

_sensor_length: number

_sin

_sin: number[]

_width

_width: number

Accessors

actions

  • get actions(): number[][]

  • Returns number[][]

current_state

  • get current_state(): any[]

  • Returns any[]

epoch

  • get epoch(): number

  • Epoch

    Returns number

reward

  • set reward(value: any): void

  • Reward

    Parameters

    • value: any

      Reward object

    Returns void

states

Methods

addBall

  • addBall(): void

  • Returns void

clone

reset

  • reset(): any

  • Reset environment.

    Returns any

sample_action

  • sample_action(agent: any): any[]

  • Sample an action.

    Parameters

    • agent: any

      Agent

    Returns any[]

    Sampled action

setState

  • setState(state: any[], agent: any): void

  • Set new state.

    Parameters

    • state: any[]

      New state

    • agent: any

      Agent

    Returns void

state

  • state(): any

  • Returns current state.

    Returns any

    Current state

step

  • step(action: any): { done: boolean; reward: number; state: any }

  • Do action and returns new state.

    Parameters

    • action: any

      Actions to be performed by the agent

    Returns { done: boolean; reward: number; state: any }

    state, reward, done

test

  • test(
        state: any[],
        action: any[],
        agent: any,
    ): { done: boolean; invalid?: boolean; reward: number; state: any[] }

  • Do actioin without changing environment and returns new state.

    Parameters

    • state: any[]

      Environment state

    • action: any[]

      Actions to be performed by the agent

    • agent: any

      Agent

    Returns { done: boolean; invalid?: boolean; reward: number; state: any[] }

    state, reward, done

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