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LF2_RL

A testing little fighter gym simulator for reinforcement learning studying.

Demo

Installation

  1. Install OpenAI Gym and its dependencies.
pip install gym
  1. 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.)