config.seed = 1 config.environment = gym.make("ObstacleAvoidance-v0") config.num_episodes_to_run = 2000 config.file_to_save_data_results = "C:/my_project/Deep-Reinforcement-Learning-Algorithms-with-PyTorch/results/data_and_graphs/carla_obstacle_avoidance/data.pkl" config.file_to_save_results_graph = "C:/my_project/Deep-Reinforcement-Learning-Algorithms-with-PyTorch/results/data_and_graphs/carla_obstacle_avoidance/data.png" config.show_solution_score = False config.visualise_individual_results = True config.visualise_overall_agent_results = True config.standard_deviation_results = 1.0 config.runs_per_agent = 1 config.use_GPU = True config.overwrite_existing_results_file = False config.randomise_random_seed = True config.save_model = True config.resume = False config.resume_path = '' config.backbone_pretrain = True config.hyperparameters = { "learning_rate": 1e-2 * 10., "batch_size": 32, "buffer_size": 20000, "epsilon": 1.0, "epsilon_decay_rate_denominator": 1.0, "discount_rate": 0.99, "tau": 0.01, "alpha_prioritised_replay": 0.6, "beta_prioritised_replay": 0.1, "incremental_td_error": 1e-8, "update_every_n_steps": 1,
config.seed = 1 config.environment = gym.make("ObstacleAvoidance-v0") config.num_episodes_to_run = 2000 config.file_to_save_data_results = "C:/my_project/Deep-Reinforcement-Learning-Algorithms-with-PyTorch/results/data_and_graphs/carla_obstacle_avoidance/data.pkl" config.file_to_save_results_graph = "C:/my_project/Deep-Reinforcement-Learning-Algorithms-with-PyTorch/results/data_and_graphs/carla_obstacle_avoidance/data.png" config.show_solution_score = False config.visualise_individual_results = True config.visualise_overall_agent_results = True config.standard_deviation_results = 1.0 config.runs_per_agent = 1 config.use_GPU = True config.overwrite_existing_results_file = False config.randomise_random_seed = True config.save_model = True config.resume = True config.resume_path = '' config.backbone_pretrain = True config.hyperparameters = { "learning_rate": 1e-2 * 10., "batch_size": 32, "buffer_size": 20000, "epsilon": 1.0, "epsilon_decay_rate_denominator": 1.0, "discount_rate": 0.99, "tau": 0.01, "alpha_prioritised_replay": 0.6, "beta_prioritised_replay": 0.1, "incremental_td_error": 1e-8, "update_every_n_steps": 1,