LF2_RL

A testing little fighter gym simulator for reinforcement learning studying.

Demo

Installation

1. Install OpenAI Gym and its dependencies.

pip install gym

2. Download and install LF2_RL

git clone https://github.com/GdoongMathew/LF2_RL.git
cd LF2_RL
python setup.py install

Running

import gym

def main():

    lf2_env = gym.make('LittleFighter2-v0')
    lf2_env.reset()

    done = False
    while not done:
        obs, reward, done, info = lf2_env.step(lf2_env.action_space.sample())
        if done:
            lf2_env.reset()
    
    lf2_env.close()

if __name__ == '__main__':
    main()

Action Space

Value	Action	Value	Action
0	idle	8	run
1	up	9	combo attack1
2	down	10	combo attack2
3	left	11	combo attack3
4	right	12	combo attack4
5	A	13	combo attack5
6	J	14	combo attack6
7	D

Observation Space

Mode	Ob space
picture	[img_h, img_w, number of stacks]
info	[my mp, my hp, my x, my y, my z, enemy1 x, enemy1 y, enemy1 z]
mix	dict(Game_Screen: picture, Info: info)

Parameters

Parameter	Description	Default Value
windows_name	window's name	'Little Fighter 2'
player_id	AI player id	1
down_scale	screenshot downscale	2
frame_stack	number of frames to stack	4
frame_skip	number of frames to skip between each frame	1
reset_skip_sec	immortal time when each round begins	2
mode	observation mode	'mix'

Notice

• Before training/testing, setup your gamemode to "VS Mode" and select your character first.
• Please ALWAYS put lf2 windows on top, otherwise you may result in random words typed in your focused window.(May be fixed in future updates.)