From 720b0488f7ae2f30d03b24b8e179eb1130b39979 Mon Sep 17 00:00:00 2001 From: linyiLYi <48440925+linyiLYi@users.noreply.github.com> Date: Mon, 27 Mar 2023 22:47:01 +0800 Subject: [PATCH] Initial commit --- .gitattributes | 2 + .gitignore | 1 + LICENSE | 201 ++++++++++++++++++ README.md | 2 + ...FighterIISpecialChampionEdition-Genesis.md | Bin 0 -> 3145728 bytes print_game_lib_folder.py | 7 + test_street_fighter_ai.py | 38 ++++ train_street_fighter_ai.py | 103 +++++++++ training_history.txt | 0 9 files changed, 354 insertions(+) create mode 100644 .gitattributes create mode 100644 .gitignore create mode 100644 LICENSE create mode 100644 README.md create mode 100644 StreetFighterIISpecialChampionEdition-Genesis.md create mode 100644 print_game_lib_folder.py create mode 100644 test_street_fighter_ai.py create mode 100644 train_street_fighter_ai.py create mode 100644 training_history.txt diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..dfe0770 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,2 @@ +# Auto detect text files and perform LF normalization +* text=auto diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..6f66c74 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +*.zip \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..b09cd78 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ +Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md new file mode 100644 index 0000000..bc6d822 --- /dev/null +++ b/README.md @@ -0,0 +1,2 @@ +# street-fighter-ai + A Street Fighter II AI based on OpenAI Gym (Gymnasium) diff --git 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self.model.save(os.path.join(self.save_dir, f"ppo_chunli_stage_{self.current_stage}.zip")) + return True + +def make_env(game, state, seed=0): + def _init(): + env = retro.RetroEnv(game=game, state=state) + env.seed(seed) + return env + return _init + +def main(): + n_envs = 4 + + # Set up the environment and model + game = "StreetFighterIISpecialChampionEdition-Genesis" + state_stages = [ + "Champion.Level1.ChunLiVsGuile", + "Champion.Level2.ChunLiVsKen", + "Champion.Level3.ChunLiVsChunLi", + "Champion.Level4.ChunLiVsZangief", + # Add other stages as necessary + ] + + rom_directory = "C:/Users/unitec/Documents/AIProjects/street-fighter-ai" + import_rom(rom_directory) + + # Create the environment with the correct game ID and scenario + # env = retro.RetroEnv(game='StreetFighterIISpecialChampionEdition-Genesis', state='Champion.Level1.ChunLiVsGuile') + env = SubprocVecEnv([make_env(game, state_stages[0], seed=i) for i in range(n_envs)]) + + # env = DummyVecEnv([lambda: env]) + + # Define PPO model + model = PPO( + "CnnPolicy", + env, + verbose=1, + device="cuda", + learning_rate=2.5e-4, + n_steps=5400, + batch_size=96, + n_epochs=10, + gamma=0.99, + gae_lambda=0.95, + clip_range=0.2, + ent_coef=0.01, + vf_coef=0.5, + max_grad_norm=0.5, + seed=None, + ) + + + checkpoint_path = None + if checkpoint_path is not None: + model = model.load(checkpoint_path, env) + + + # Set the save directory + save_dir = "trained_models" + os.makedirs(save_dir, exist_ok=True) + + # Set up callbacks + stage_interval = 540000 # Number of steps between increasing stages + checkpoint_callback = CheckpointCallback(save_freq=stage_interval, save_path=save_dir, name_prefix="ppo_chunli") + stage_increase_callback = StageIncreaseCallback(state_stages, stage_interval, save_dir) + + # Train the model and save intermediate models + model.learn(total_timesteps=1620000, callback=[checkpoint_callback, stage_increase_callback]) + + # Save the final model + model.save(os.path.join(save_dir, "ppo_sf2_chunli_final.zip")) + + env.close() + +if __name__ == "__main__": + main() diff --git a/training_history.txt b/training_history.txt new file mode 100644 index 0000000..e69de29