Class GridMazeRLEnvironment

Grid world environment

Hierarchy (View Summary)

RLEnvironmentBase
- GridMazeRLEnvironment

Index

Constructors

Properties

__map _dim _epoch _max_step _points _position _reward _rewardReviver _size

Accessors

_action_move actions epoch map rewardReviver size states

Methods

clone reset resetMap resetMapAsMaze sample_action setState state step test

Constructors

constructor

new GridMazeRLEnvironment(): GridMazeRLEnvironment
Returns GridMazeRLEnvironment
Inherited from RLEnvironmentBase.constructor

Properties

__map

__map: any

_dim

_dim: number

_epoch

_epoch: number

_max_step

_max_step: number

_points

_points: any[]

_position

_position: any[]

_reward

_reward: { fail: number; goal: number; step: number; wall: number }

_rewardReviver

_rewardReviver: (arg0: RLStepResult) => number

_size

_size: number[]

Accessors

_action_move

get _action_move(): number[][]
Returns number[][]
- Defined in lib/rl/grid.d.ts:19

actions

get actions(): number[][]
Returns number[][]
- Defined in lib/rl/grid.d.ts:18

epoch

get epoch(): number
Epoch

Returns number
Inherited from RLEnvironmentBase.epoch
- Defined in lib/rl/base.d.ts:73

map

get map(): any
Returns any
- Defined in lib/rl/grid.d.ts:21

rewardReviver

set rewardReviver(reviver: (arg0: RLStepResult) => number): void
Reward reviver
Parameters
- reviver: (arg0: RLStepResult) => number
  Reward reviver function that returns modified reward value
Returns void
Inherited from RLEnvironmentBase.rewardReviver
- Defined in lib/rl/base.d.ts:78

size

get size(): number[]
Returns number[]
- Defined in lib/rl/grid.d.ts:17

states

get states(): RLIntRange[]
Returns RLIntRange[]
- Defined in lib/rl/grid.d.ts:20

Methods

clone

clone(): RLEnvironmentBase
Returns cloned environment.

Returns RLEnvironmentBase
Cloned environment
Inherited from RLEnvironmentBase.clone
- Defined in lib/rl/base.d.ts:84

reset

reset(): any[]
Reset environment.

Returns any[]
Overrides RLEnvironmentBase.reset
- Defined in lib/rl/grid.d.ts:22

resetMap

resetMap(): void
Returns void
- Defined in lib/rl/grid.d.ts:23

resetMapAsMaze

resetMapAsMaze(): void
Returns void
- Defined in lib/rl/grid.d.ts:24

sample_action

sample_action(agent: any): any[]
Sample an action.
Parameters
- agent: any
  Agent
Returns any[]
Sampled action
Inherited from RLEnvironmentBase.sample_action
- Defined in lib/rl/base.d.ts:121

setState

setState(state: any): void
Set new state.
Parameters
- state: any
  New state
Returns void
Overrides RLEnvironmentBase.setState
- Defined in lib/rl/grid.d.ts:26

state

state(): any[]
Returns current state.

Returns any[]
Current state
Overrides RLEnvironmentBase.state
- Defined in lib/rl/grid.d.ts:25

step

step(action: any[], agent: any): RLStepResult
Do action and returns new state.
Parameters
- action: any[]
  Actions to be performed by the agent
- agent: any
  Agent
Returns RLStepResult
state, reward, done
Inherited from RLEnvironmentBase.step
- Defined in lib/rl/base.d.ts:107

test

test(state: any, action: any): RLStepResult
Do actioin without changing environment and returns new state.
Parameters
- state: any
  Environment state
- action: any
  Actions to be performed by the agent
Returns RLStepResult
state, reward, done
Overrides RLEnvironmentBase.test
- Defined in lib/rl/grid.d.ts:27