Class RLEnvironmentBase

Base class for reinforcement learning environment

Hierarchy (View Summary)

RLEnvironmentBase

Index

Constructors

Properties

Accessors

Methods

clone reset sample_action setState state step test

Constructors

constructor

new RLEnvironmentBase(): RLEnvironmentBase
Returns RLEnvironmentBase

Properties

_epoch

_epoch: number

Accessors

epoch

get epoch(): number
Epoch

Returns number
- Defined in lib/rl/base.d.ts:73

reward

set reward(value: object): void
Reward
Parameters
- value: object
  Reward object
Returns void
- Defined in lib/rl/base.d.ts:78

Methods

clone

clone(): RLEnvironmentBase
Returns cloned environment.

Returns RLEnvironmentBase
Cloned environment
- Defined in lib/rl/base.d.ts:83

reset

reset(): void
Reset environment.

Returns void
- Defined in lib/rl/base.d.ts:87

sample_action

sample_action(agent: any): any[]
Sample an action.
Parameters
- agent: any
  Agent
Returns any[]
Sampled action
- Defined in lib/rl/base.d.ts:130

setState

setState(state: any[], agent: any): void
Set new state.
Parameters
- state: any[]
  New state
- agent: any
  Agent
Returns void
- Defined in lib/rl/base.d.ts:99

state

state(agent: any): any[]
Returns current state.
Parameters
- agent: any
  Agent
Returns any[]
Current state
- Defined in lib/rl/base.d.ts:93

step

step(
action: any[],
agent: any,
): { done: boolean; invalid?: boolean; reward: number; state: any[] }
Do action and returns new state.
Parameters
- action: any[]
  Actions to be performed by the agent
- agent: any
  Agent
Returns { done: boolean; invalid?: boolean; reward: number; state: any[] }
state, reward, done
- Defined in lib/rl/base.d.ts:106

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
- Defined in lib/rl/base.d.ts:119