Class AcrobotRLEnvironment

Acrobot environment

Hierarchy (View Summary)

RLEnvironmentBase
- AcrobotRLEnvironment

Index

Constructors

Properties

_dt _dtheta1 _dtheta2 _epoch _g _link_com_pos1 _link_com_pos2 _link_len1 _link_len2 _link_mass1 _link_mass2 _max_step _max_vel1 _max_vel2 _moi _reward _theta1 _theta2

Accessors

actions epoch reward states

Methods

clone reset sample_action setState state step test

Constructors

constructor

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

Properties

_dt

_dt: number

_dtheta1

_dtheta1: number

_dtheta2

_dtheta2: number

_epoch

_epoch: number

_g

_g: number

_link_com_pos1

_link_com_pos1: number

_link_com_pos2

_link_com_pos2: number

_link_len1

_link_len1: number

_link_len2

_link_len2: number

_link_mass1

_link_mass1: number

_link_mass2

_link_mass2: number

_max_step

_max_step: number

_max_vel1

_max_vel1: number

_max_vel2

_max_vel2: number

_moi

_moi: number

_reward

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

_theta1

_theta1: number

_theta2

_theta2: number

Accessors

actions

get actions(): number[][]
Returns number[][]
- Defined in lib/rl/acrobot.d.ts:26

epoch

get epoch(): number
Epoch

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

reward

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

states

get states(): RLRealRange[]
Returns RLRealRange[]
- Defined in lib/rl/acrobot.d.ts:27

Methods

clone

clone(): RLEnvironmentBase
Returns cloned environment.

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

reset

reset(): number[]
Reset environment.

Returns number[]
Overrides RLEnvironmentBase.reset
- Defined in lib/rl/acrobot.d.ts:28

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:130

setState

setState(state: any): void
Set new state.
Parameters
- state: any
  New state
Returns void
Overrides RLEnvironmentBase.setState
- Defined in lib/rl/acrobot.d.ts:30

state

state(): number[]
Returns current state.

Returns number[]
Current state
Overrides RLEnvironmentBase.state
- Defined in lib/rl/acrobot.d.ts:29

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
Inherited from RLEnvironmentBase.step
- Defined in lib/rl/base.d.ts:106

test

test(state: any, action: any): { done: 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
Returns { done: boolean; reward: number; state: any[] }
state, reward, done
Overrides RLEnvironmentBase.test
- Defined in lib/rl/acrobot.d.ts:31