reinforcelearn (version 0.2.1)

GymEnvironment: Gym Environment

Description

Reinforcement learning environment from OpenAI Gym.

Arguments

gym.name

[character(1)] Name of gym environment, e.g. "CartPole-v0".

...

[any] Arguments passed on to makeEnvironment.

Usage

makeEnvironment("gym", gym.name, ...)

Installation

For installation of the python package gym see https://github.com/openai/gym#installation. Then install the R package reticulate.

Methods

• $close() Close visualization window.

• $step(action) Take action in environment. Returns a list with state, reward, done.

• $reset() Resets the done flag of the environment and returns an initial state. Useful when starting a new episode.

• $visualize() Visualizes the environment (if there is a visualization function).

Details

For available gym environments take a look at https://gym.openai.com/envs.

Examples

# NOT RUN {
# Create an OpenAI Gym environment.
# Make sure you have Python, gym and reticulate installed.
env = makeEnvironment("gym", gym.name = "MountainCar-v0")
env$reset()
env$close()
# }