From 32bff8b5c5e036b620f7a2be31a65fb9f02f3a0c Mon Sep 17 00:00:00 2001 From: Vasilis Valatsos Date: Thu, 7 Mar 2024 10:27:26 +0200 Subject: [PATCH] Updated rewards and fixed formatting --- entities/player.py | 2 +- level.py | 1 - main.py | 9 +++------ 3 files changed, 4 insertions(+), 8 deletions(-) diff --git a/entities/player.py b/entities/player.py index 0a38e3c..904ff5f 100644 --- a/entities/player.py +++ b/entities/player.py @@ -161,7 +161,7 @@ class Player(pygame.sprite.Sprite): self.old_state_features = self.state_features self.reward = self.stats.exp - # + self.stats.health/self.stats.stats['health'] - 1\ + + self.stats.health/self.stats.stats['health'] - 1 # - nearest_dist/np.sqrt(np.sum(self.map_edge)) self.state_features = [ diff --git a/level.py b/level.py index c61a4db..cfb0112 100644 --- a/level.py +++ b/level.py @@ -294,7 +294,6 @@ class Level: if player.is_dead(): print(f"\nPlayer {player.player_id} is dead\n") player.stats.exp = -10 - player.update() self.dead_players[player.player_id] = player.is_dead() self.done = True if (self.dead_players.all() == 1 diff --git a/main.py b/main.py index 83982e0..e474a41 100644 --- a/main.py +++ b/main.py @@ -26,6 +26,7 @@ def main(): chkpt_path, figure_path = folder_struct.setup_dirs() + # Setup AI params n_episodes = parsed_args.n_episodes episode_length = parsed_args.ep_length n_agents = parsed_args.n_agents @@ -38,8 +39,6 @@ def main(): show_pygame = parsed_args.show_pg - # Setup AI metrics - # Setup parameter monitoring score_history = np.zeros( shape=(parsed_args.n_agents, parsed_args.n_episodes)) @@ -63,9 +62,6 @@ def main(): time_alive = np.zeros(shape=(parsed_args.n_agents, parsed_args.n_episodes)) - # score_history, best_score, actor_loss, critic_loss, total_loss, entropy, advantage = metrics.generate(parsed_args) - - game = Pneuma(show_pg=show_pygame, n_players=parsed_args.n_agents) print("Initializing agents ...") @@ -202,9 +198,10 @@ def main(): metrics.plot_parameter('advantage', advantage, parsed_args.n_agents, figure_path) metrics.plot_avg_time(time_alive, parsed_args.n_agents, figure_path) + # End of training session print("End of episodes.\ - \nExiting game...") + \n Saving models and exiting game...") # Save models player.agent.save_models(