This is r package of the environment for the reinforcement learning to explore a volcano.
You can explore the environment with shiny application that is included in the package.
devtools::install_github("hosscine/rlenv")
To start GUI for manualy exploring:
library(rlenv)
startEnvironment()
To designe a reinforcement learning agent for the environment:
library(rlenv)
env <- volcanoExplorer$new()
A instance of the volcano explorer has methods below:
initialize()- resets position and velocity of the agent
observeContinuous()- observes state(position and velocity) continuously
observeDiscrete()- observes state(only position) discreately
actionContinuous(action.x, action.y, torque = 2)- affects continuously 2D action to environment
actionDiscrete(discrete.action, torque = 2)- affects discretely 1D action to environment
- discrete.action is required (0, 1, 2, 3, 4) to (stop, move up, move down, move left, move right), respectively
getReward()- gets reward of current state
plot()- plots the environment and the position of the agent