From 115b2e41519ea135e8043bc63b256a6237e0560b Mon Sep 17 00:00:00 2001 From: Vasilis Valatsos Date: Fri, 17 Nov 2023 03:19:03 +0100 Subject: [PATCH] Hopefully implemented PPO --- {agent => agents}/__init__.py | 0 agents/ppo/__init__.py | 0 {agent => agents/ppo}/agent.py | 12 +- {agent => agents/ppo}/brain.py | 3 + {agent => agents/ppo}/utils/hyperparams.py | 0 assets/map/Entities.csv | 4 +- configs/system/window_config.py | 2 +- entities/components/_input.py | 2 +- entities/player.py | 90 +++++++--- level/level.py | 97 +++++++++-- main.py | 186 ++++++--------------- tmp/ppo/actor_torch_ppo | Bin 0 -> 680279 bytes tmp/ppo/critic_torch_ppo | Bin 0 -> 675103 bytes 13 files changed, 211 insertions(+), 185 deletions(-) rename {agent => agents}/__init__.py (100%) create mode 100644 agents/ppo/__init__.py rename {agent => agents/ppo}/agent.py (92%) rename {agent => agents/ppo}/brain.py (98%) rename {agent => agents/ppo}/utils/hyperparams.py (100%) create mode 100644 tmp/ppo/actor_torch_ppo create mode 100644 tmp/ppo/critic_torch_ppo diff --git a/agent/__init__.py b/agents/__init__.py similarity index 100% rename from agent/__init__.py rename to agents/__init__.py diff --git a/agents/ppo/__init__.py b/agents/ppo/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/agent/agent.py b/agents/ppo/agent.py similarity index 92% rename from agent/agent.py rename to agents/ppo/agent.py index 38ff030..c928f9f 100644 --- a/agent/agent.py +++ b/agents/ppo/agent.py @@ -6,7 +6,9 @@ from .brain import ActorNetwork, CriticNetwork, PPOMemory class Agent: - def __init__(self, input_dims, n_actions, gamma=0.99, alpha=0.0003, policy_clip=0.2, batch_size=64, N=2048, n_epochs=10, gae_lambda=0.95): + def __init__(self, input_dims, n_actions, gamma=0.99, alpha=0.0003, + policy_clip=0.2, batch_size=64, N=2048, n_epochs=10, + gae_lambda=0.95): self.gamma = gamma self.policy_clip = policy_clip @@ -37,7 +39,7 @@ class Agent: print('.. done ...') def choose_action(self, observation): - state = observation.to(self.actor.device, dtype=T.float) + state = T.tensor([observation], dtype=T.float).to(self.actor.device) dist = self.actor(state) value = self.critic(state) @@ -46,12 +48,11 @@ class Agent: probs = T.squeeze(dist.log_prob(action)).item() action = T.squeeze(action).item() value = T.squeeze(value).item() - return action, probs, value def learn(self): for _ in range(self.n_epochs): - state_arr, action_arr, old_probs_arr, vals_arr, reward_arr, done_arr, batches = self.memory.generate_batches() + state_arr, action_arr, old_probs_arr, vals_arr, reward_arr, dones_arr, batches = self.memory.generate_batches() values = vals_arr advantage = np.zeros(len(reward_arr), dtype=np.float32) @@ -62,12 +63,13 @@ class Agent: for k in range(t, len(reward_arr)-1): a_t += discount * \ (reward_arr[k] + self.gamma*values[k+1] - * (1-int(done_arr[k])) - values[k]) + * (1-int(dones_arr[k])) - values[k]) discount *= self.gamma * self.gae_lambda advantage[t] = a_t advantage = T.tensor(advantage).to(self.actor.device) values = T.tensor(values).to(self.actor.device) + for batch in batches: states = T.tensor(state_arr[batch], dtype=T.float).to( self.actor.device) diff --git a/agent/brain.py b/agents/ppo/brain.py similarity index 98% rename from agent/brain.py rename to agents/ppo/brain.py index 3340340..77bfbfd 100644 --- a/agent/brain.py +++ b/agents/ppo/brain.py @@ -35,6 +35,7 @@ class PPOMemory: def store_memory(self, state, action, probs, vals, reward, done): self.states.append(state) + self.actions.append(action) self.probs.append(probs) self.vals.append(vals) self.rewards.append(reward) @@ -55,6 +56,7 @@ class ActorNetwork(nn.Module): super(ActorNetwork, self).__init__() self.checkpoint_file = os.path.join(chkpt_dir, 'actor_torch_ppo') + self.actor = nn.Sequential( nn.Linear(input_dim, fc1_dims), nn.ReLU(), @@ -90,6 +92,7 @@ class CriticNetwork(nn.Module): super(CriticNetwork, self).__init__() self.checkpoint_file = os.path.join(chkpt_dir, 'critic_torch_ppo') + self.critic = nn.Sequential( nn.Linear(input_dims, fc1_dims), nn.ReLU(), diff --git a/agent/utils/hyperparams.py b/agents/ppo/utils/hyperparams.py similarity index 100% rename from agent/utils/hyperparams.py rename to agents/ppo/utils/hyperparams.py diff --git a/assets/map/Entities.csv b/assets/map/Entities.csv index a80baf5..1860c6b 100644 --- a/assets/map/Entities.csv +++ b/assets/map/Entities.csv @@ -18,9 +18,9 @@ -1,-1,-1,-1,-1,-1,-1,-1,-1,393,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,390,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1 -1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,390,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1 -1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1 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b/entities/components/_input.py @@ -36,7 +36,7 @@ class InputHandler: self.magic_swap_time = None # Setup Action Space - self.num_actions = 7 + self.possible_actions = [0, 1, 2, 3, 4, 5] self.action = 10 def check_input(self, button, speed, hitbox, obstacle_sprites, rect, player): diff --git a/entities/player.py b/entities/player.py index d9679ca..d3a8935 100644 --- a/entities/player.py +++ b/entities/player.py @@ -1,4 +1,5 @@ import pygame +import numpy as np from random import randint from configs.game.weapon_config import weapon_data @@ -10,12 +11,12 @@ from .components.animaton import AnimationHandler from effects.particle_effects import AnimationPlayer -from agent.agent import Agent +from agents.ppo.agent import Agent class Player(pygame.sprite.Sprite): - def __init__(self, position, groups, obstacle_sprites, visible_sprites, attack_sprites, attackable_sprites, role, player_id, extract_features, convert_features_to_tensor): + def __init__(self, position, groups, obstacle_sprites, visible_sprites, attack_sprites, attackable_sprites, role, player_id): super().__init__(groups) # Setup Sprites @@ -44,14 +45,6 @@ class Player(pygame.sprite.Sprite): self.distance_direction_from_enemy = None - # Setup AI - self.extract_features = extract_features - self.convert_features_to_tensor = convert_features_to_tensor - self.agent = Agent(input_dims=398, n_actions=self._input.num_actions) - self.state_tensor = None - self.action_tensor = None - self.reward_tensor = None - def get_status(self): if self._input.movement.direction.x == 0 and self._input.movement.direction.y == 0: if 'idle' not in self.status and 'attack' not in self.status: @@ -98,7 +91,54 @@ class Player(pygame.sprite.Sprite): return (base_damage + spell_damage) def get_current_state(self): - pass + + self.action_features = [self._input.action] + self.reward_features = [self.stats.exp] + self.state_features = [ + self.stats.role_id, + self.rect.center[0], + self.rect.center[1], + self.stats.health, + self.stats.energy, + self.stats.attack, + self.stats.magic, + self.stats.speed, + int(self._input.combat.vulnerable), + int(self._input.can_move), + int(self._input.attacking), + int(self._input.can_rotate_weapon), + int(self._input.can_swap_magic) + ] + + enemy_states = [] + + for distance, direction, enemy in self.distance_direction_from_enemy: + enemy_states.extend([ + distance, + direction[0], + direction[1], + enemy.stats.monster_id, + 0 if enemy.animation.status == "idle" else ( + 1 if enemy.animation.status == "move" else 2), + enemy.stats.health, + enemy.stats.attack, + enemy.stats.speed, + enemy.stats.exp, + enemy.stats.attack_radius, + enemy.stats.notice_radius + ]) + self.state_features.extend(enemy_states) + + def setup_agent(self): + # Setup AI + self.get_current_state() + self.agent = Agent( + input_dims=len(self.state_features), n_actions=len(self._input.possible_actions), batch_size=5, n_epochs=4) + self.score = 0 + self.learn_iters = 0 + + self.n_steps = 0 + self.N = 20 def is_dead(self): if self.stats.health == 0: @@ -108,28 +148,32 @@ class Player(pygame.sprite.Sprite): return False def update(self): - self.extract_features() - self.convert_features_to_tensor() + + # Get the current state + self.get_current_state() # Choose action based on current state - action, probs, value = self.agent.choose_action(self.state_tensor) + action, probs, value = self.agent.choose_action(self.state_features) - print(action) + self.n_steps += 1 # Apply chosen action self._input.check_input(action, self.stats.speed, self.animation.hitbox, self.obstacle_sprites, self.animation.rect, self) - done = self.is_dead() + self.done = self.is_dead() - self.extract_features() - self.convert_features_to_tensor() + self.score = self.stats.exp + self.agent.remember(self.state_features, action, + probs, value, self.stats.exp, self.done) - self.agent.remember(self.state_tensor, self.action_tensor, - probs, value, self.reward_tensor, done) - - if done: + if self.n_steps % self.N == 0: + self.agent.learn() + self.learn_iters += 1 + + self.get_current_state() + + if self.done: self.agent.learn() - self.agent.memory.clear_memory() # Refresh objects based on input self.status = self._input.status diff --git a/level/level.py b/level/level.py index 6f98f2c..4b09aa6 100644 --- a/level/level.py +++ b/level/level.py @@ -20,15 +20,11 @@ from .camera import Camera class Level: - def __init__(self, extract_features, - convert_features_to_tensor): + def __init__(self): # General Settings self.game_paused = False - - # AI setup - self.extract_features = extract_features - self.convert_features_to_tensor = convert_features_to_tensor + self.done = False # Get display surface self.display_surface = pygame.display.get_surface() @@ -43,6 +39,8 @@ class Level: self.create_map() self.get_players_enemies() self.get_distance_direction() + for player in self.player_sprites: + player.setup_agent() # UI setup self.ui = UI() @@ -85,26 +83,99 @@ class Level: if style == 'entities': # The numbers represent their IDs in .csv files generated from TILED. - if col == '395': + if col == '500': self.observer = Observer( (x, y), [self.visible_sprites]) elif col == '400': # Player Generation Player( - (x, y), [self.visible_sprites], self.obstacle_sprites, self.visible_sprites, self.attack_sprites, self.attackable_sprites, 'tank', player_id, self.extract_features, self.convert_features_to_tensor) + (x, y), [self.visible_sprites], self.obstacle_sprites, self.visible_sprites, self.attack_sprites, self.attackable_sprites, 'tank', player_id) player_id += 1 elif col == '401': # Player Generation Player( - (x, y), [self.visible_sprites], self.obstacle_sprites, self.visible_sprites, self.attack_sprites, self.attackable_sprites, 'warrior', player_id, self.extract_features, self.convert_features_to_tensor) + (x, y), [self.visible_sprites], self.obstacle_sprites, self.visible_sprites, self.attack_sprites, self.attackable_sprites, 'warrior', player_id) player_id += 1 elif col == '402': # Player Generation Player( - (x, y), [self.visible_sprites], self.obstacle_sprites, self.visible_sprites, self.attack_sprites, self.attackable_sprites, 'mage', player_id, self.extract_features, self.convert_features_to_tensor) + (x, y), [self.visible_sprites], self.obstacle_sprites, self.visible_sprites, self.attack_sprites, self.attackable_sprites, 'mage', player_id) + player_id += 1 + + else: + # Monster Generation + if col == '390': + monster_name = 'bamboo' + elif col == '391': + monster_name = 'spirit' + elif col == '392': + monster_name = 'raccoon' + else: + monster_name = 'squid' + + Enemy(monster_name, (x, y), [ + self.visible_sprites, self.attackable_sprites], self.visible_sprites, self.obstacle_sprites) + + def reset_map(self): + script_dir = os.path.dirname(os.path.abspath(__file__)) + asset_path = os.path.join( + script_dir, '..', 'assets') + layouts = { + 'boundary': import_csv_layout(f"{asset_path}/map/FloorBlocks.csv"), + 'grass': import_csv_layout(f"{asset_path}/map/Grass.csv"), + 'objects': import_csv_layout(f"{asset_path}/map/Objects.csv"), + 'entities': import_csv_layout(f"{asset_path}/map/Entities.csv") + } + + graphics = { + 'grass': import_folder(f"{asset_path}/graphics/grass"), + 'objects': import_folder(f"{asset_path}/graphics/objects") + } + + for style, layout in layouts.items(): + for row_index, row in enumerate(layout): + for col_index, col in enumerate(row): + if col != '-1': + x = col_index * TILESIZE + y = row_index * TILESIZE + if style == 'boundary': + Tile((x, y), [self.obstacle_sprites], 'invisible') + + if style == 'grass': + random_grass_image = choice(graphics['grass']) + Tile((x, y), [self.visible_sprites, self.obstacle_sprites, + self.attackable_sprites], 'grass', random_grass_image) + + if style == 'objects': + surf = graphics['objects'][int(col)] + Tile((x, y), [self.visible_sprites, + self.obstacle_sprites], 'object', surf) + + if style == 'entities': + # The numbers represent their IDs in .csv files generated from TILED. + if col == '500': + self.observer = Observer( + (x, y), [self.visible_sprites]) + + elif col == '400': + # Player Generation + Player( + (x, y), [self.visible_sprites], self.obstacle_sprites, self.visible_sprites, self.attack_sprites, self.attackable_sprites, 'tank', player_id) + player_id += 1 + + elif col == '401': + # Player Generation + Player( + (x, y), [self.visible_sprites], self.obstacle_sprites, self.visible_sprites, self.attack_sprites, self.attackable_sprites, 'warrior', player_id) + player_id += 1 + + elif col == '402': + # Player Generation + Player( + (x, y), [self.visible_sprites], self.obstacle_sprites, self.visible_sprites, self.attack_sprites, self.attackable_sprites, 'mage', player_id) player_id += 1 else: @@ -175,11 +246,7 @@ class Level: for player in self.player_sprites: if player.is_dead(): - print(player.stats.health) - player.kill() - - if self.player_sprites == []: - self.__init__() + self.done = True if not self.game_paused: # Update the game diff --git a/main.py b/main.py index ec28e8d..5eed74f 100644 --- a/main.py +++ b/main.py @@ -2,7 +2,7 @@ import sys import numpy as np import torch import pygame - +from tqdm import tqdm from configs.system.window_config import WIDTH, HEIGHT, WATER_COLOR, FPS from level.level import Level @@ -19,146 +19,13 @@ class Game: pygame.display.set_caption('Pneuma') self.clock = pygame.time.Clock() - self.level = Level(self.extract_features, - self.convert_features_to_tensor) + self.level = Level() # Sound main_sound = pygame.mixer.Sound('assets/audio/main.ogg') main_sound.set_volume(0.4) main_sound.play(loops=-1) - def extract_features(self): - self.state_features = [] - self.reward_features = [] - self.action_features = [] - self.features = [] - - for i, player in enumerate(self.level.player_sprites): - - player_action_features = { - "player_id": player.player_id, - "player_action": player._input.action - } - - player_reward_features = { - "player_id": player.player_id, - "player_exp": player.stats.exp - } - - player_state_features = { - "player_id": player.player_id, - "player_position": player.rect.center, - "player role": player.stats.role_id, - "player_health": player.stats.health, - "player_energy": player.stats.energy, - "player_attack": player.stats.attack, - "player_magic": player.stats.magic, - "player_speed": player.stats.speed, - "player_vulnerable": int(player._input.combat.vulnerable), - "player_can_move": int(player._input.can_move), - "player_attacking": int(player._input.attacking), - "player_can_rotate_weapon": int(player._input.can_rotate_weapon), - "playercan_swap_magic": int(player._input.can_swap_magic) - } - - distances_directions = [] - - for distance, direction, enemy in player.distance_direction_from_enemy: - distances_directions.append({ - "enemy_id": enemy.stats.monster_id, - "enemy_status": 0 if enemy.animation.status == "idle" else (1 if enemy.animation.status == "move" else 2), - "enemy_health": enemy.stats.health, - "enemy_attack": enemy.stats.attack, - "enemy_speed": enemy.stats.speed, - "enemy_attack_radius": enemy.stats.attack_radius, - "enemy_notice_radius": enemy.stats.notice_radius, - "enemy_exp": enemy.stats.exp, - "enemy_distance": distance, - "enemy_direction": direction - }) - - player_state_features["enemies"] = distances_directions - self.reward_features.append(player_reward_features) - self.state_features.append(player_state_features) - self.action_features.append(player_action_features) - - def convert_features_to_tensor(self): - - for features in self.state_features: - info_array = [] - - # Adding player features to tensor - player_info = [ - features['player_position'][0], - features['player_position'][1], - features['player role'], - features['player_health'], - features['player_energy'], - features['player_attack'], - features['player_magic'], - features['player_speed'], - features['player_vulnerable'], - features['player_can_move'], - features['player_attacking'], - features['player_can_rotate_weapon'], - features['playercan_swap_magic'], - ] - info_array.extend(player_info) - - # Adding enemy features per player - for enemy in features['enemies']: - enemy_info = [ - enemy['enemy_id'], - enemy['enemy_status'], - enemy['enemy_health'], - enemy['enemy_attack'], - enemy['enemy_speed'], - enemy['enemy_attack_radius'], - enemy['enemy_notice_radius'], - enemy['enemy_exp'], - enemy['enemy_distance'], - enemy['enemy_direction'][0], - enemy['enemy_direction'][1] - ] - info_array.extend(enemy_info) - - state_tensor = torch.tensor( - np.array(info_array, dtype=np.float32)) - - for player in self.level.player_sprites: - if player.player_id == features["player_id"]: - player.state_tensor = state_tensor - - for features in self.action_features: - info_array = [] - - # Adding action features - action_info = [ - features["player_action"] - ] - - action_tensor = torch.tensor( - np.array(action_info, dtype=np.float32)) - - for player in self.level.player_sprites: - if player.player_id == features["player_id"]: - player.action_tensor = action_tensor - - for features in self.reward_features: - info_array = [] - - # Adding reward features - reward_info = [ - features["player_exp"] - ] - - reward_tensor = torch.tensor( - np.array(reward_info, dtype=np.float32)) - - for player in self.level.player_sprites: - if player.player_id == features["player_id"]: - player.reward_tensor = reward_tensor - def run(self): for event in pygame.event.get(): @@ -178,8 +45,51 @@ class Game: if __name__ == '__main__': + n_games = 300 + + figure_file = 'plots/score.png' + score_history = [] + best_score = 0 + avg_score = 0 + + agent_list = [] + + game_len = 10000 game = Game() - for i in range(0, 10000): - game.run() - print(i) + + for i in tqdm(range(n_games)): + # TODO: Make game.level.reset_map() so we don't __init__ everything all the time (such a waste) + game.level.__init__() + # TODO: Make game.level.reset_map() so we don't pull out and load the agent every time (There is -definitevly- a better way) + for player in game.level.player_sprites: + for player_id, agent in agent_list: + if player.player_id == player_id: + player.agent = agent + agent_list = [] + done = False + score = 0 + for _ in range(game_len): + if not game.level.done: + game.run() + else: + break + for player in game.level.player_sprites: + agent_list.append((player.player_id, player.agent)) + + if i == n_games-1 and game.level.enemy_sprites != []: + for player in game.level.player_sprites: + player.stats.exp -= 5 + player.update() + + for player in game.level.player_sprites: + player.agent.save_models() + + # TODO: Make it so that scores appear here for each player + # score_history.append(game.level.player.score) + # print(score) + # avg_score = np.mean(score_history[-100:]) + + # if avg_score > best_score: + # best_score = avg_score + # game.level.player.agent.save_models() diff --git a/tmp/ppo/actor_torch_ppo b/tmp/ppo/actor_torch_ppo new file 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