Clash Royale Env

Action Space	Discrete(2304)
Observation Shape	(128, 128, 3)
Observation High	255
Observation Low	0
Import	import clash_royale gymnasium.make("clash-royale", render_mode="rgb_array")

Description

Clash Royale as a Gymnasium environment. Supports Python versions 3.10 and above.

Installation

pip install git+https://github.com/MSU-AI/[email protected]

Usage

1. Import it to train your RL model

import clash_royale
env = gymnasium.make("clash-royale", render_mode="rgb_array")

The package relies on import side-effects to register the environment name so, even though the package is never explicitly used, its import is necessary to access the environment.

2. Some sample code

# WARNING: This code is subject to change and may be OUTDATED!
import clash_royale
import gymnasium
env = gymnasium.make("clash-royale", render_mode="rgb_array")

obs, _ = env.reset()
while True:
    # Next action:
    # (feed the observation to your agent here)
    action = env.action_space.sample()

    # Processing:
    obs, reward, terminated, _, info = env.step(action)
    
    # Checking if the player is still alive
    if terminated:
        break

env.close()

Action Space

Clash Royale has the action space Discrete(2304).

Variable	Meaning
x	Card x-coordinate
y	Card y-coordinate
z	Card index in hand

Corresponding action space index of x * y * z.

Observation Space

The observation will be the RGB image that is displayed to a human player with observation space Box(low=0, high=255, shape=(128, 128, 3), dtype=np.uint8).

Version History

• v0.0.1: initial version release with mock api calls for internal testing