StreetFigther II' (Beta)

This is a private project to make StreetFighter Agent.

It consists of training an agent to clear StreetFighter with deep reinforcement learning methods.

This agent based on Super-mario-rl

Get started

Cloning git

git clone https://github.com/jiseongHAN/StreetFighterRL.git
cd StreetFighterRL

Install Requirements

pip install -r requirements.txt

Install StreetFighter

download rom file from https://edgeemu.net/details-12765.htm

and import streetfighter rom file on gym retro

python3 -m retro.import <path_to_your_ROMs_directory>

Running

Train

• Train with dueling dqn.

python duel_dqn.py

Result

• *.pth : save weight of q, q_target every 50 training

Evaluate

• Test and render trained agent.
• To test our agent, we need 'q_target.pth' that generated at the training step.

python eval.py

• Or you can use your own agent.

python eval.py your_own_agent.pth

TODO: Add prev action for train to use combo

Reference

Wang, Ziyu, et al. "Dueling network architectures for deep reinforcement learning." International conference on machine learning. PMLR, 2016.

Ryuforcement