class ReinforceConfig(BaseConfig):
"""Configurations related to reinfocement learning"""
def __init__(self, config=None):
super(ReinforceConfig,
self).__init__(config, default_config=default_reinforce_config)
#TODO Can use python feature to generate these properties? Manual Labour for now -_-
decay_steps = property(BaseConfig.get_property("decay_steps"),
BaseConfig.set_property("decay_steps"))
starting_epsilon = property(BaseConfig.get_property("starting_epsilon"),
BaseConfig.set_property("starting_epsilon"))
decay_rate = property(BaseConfig.get_property("decay_rate"),
BaseConfig.set_property("decay_rate"))
discount_factor = property(BaseConfig.get_property("discount_factor"),
BaseConfig.set_property("discount_factor"))
batch_size = property(BaseConfig.get_property("batch_size"),
BaseConfig.set_property("batch_size"))
memory_size = property(BaseConfig.get_property("memory_size"),
BaseConfig.set_property("memory_size"))
summaries_path = property(BaseConfig.get_property("summaries_path"),
BaseConfig.set_property("summaries_path"))
update_frequency = property(BaseConfig.get_property("update_frequency"),
BaseConfig.set_property("update_frequency"))
class EvaluationConfig(BaseConfig):
""" Everything related to evaluations """
def __init__(self, config=None):
super(EvaluationConfig,
self).__init__(config=config,
default_config=default_evaluation_config)
name = property(BaseConfig.get_property("name"),
BaseConfig.set_property("name"))
env = property(BaseConfig.get_property("env"),
BaseConfig.set_property("env"))
summaries_path = property(BaseConfig.get_property("summaries_path"),
BaseConfig.set_property("summaries_path"))
training_episodes = property(BaseConfig.get_property("training_episodes"),
BaseConfig.set_property("training_episodes"))
test_episodes = property(BaseConfig.get_property("test_episodes"),
BaseConfig.set_property("test_episodes"))
render = property(BaseConfig.get_property("render"),
BaseConfig.set_property("render"))
contrastive = property(BaseConfig.get_property("contrastive"),
BaseConfig.set_property("contrastive"))
sleep = property(BaseConfig.get_property("sleep"),
BaseConfig.set_property("sleep"))
class ReinforceConfig(BaseConfig):
"""Configurations related to reinfocement learning"""
def __init__(self, config=None):
super(ReinforceConfig,
self).__init__(config, default_config=default_reinforce_config)
# TODO Can use python feature to generate these properties? Manual Labour for now -_-
epsilon_timesteps = property(BaseConfig.get_property("epsilon_timesteps"),
BaseConfig.set_property("epsilon_timesteps"))
starting_epsilon = property(BaseConfig.get_property("starting_epsilon"),
BaseConfig.set_property("starting_epsilon"))
final_epsilon = property(BaseConfig.get_property("final_epsilon"),
BaseConfig.set_property("final_epsilon"))
discount_factor = property(BaseConfig.get_property("discount_factor"),
BaseConfig.set_property("discount_factor"))
batch_size = property(BaseConfig.get_property("batch_size"),
BaseConfig.set_property("batch_size"))
memory_size = property(BaseConfig.get_property("memory_size"),
BaseConfig.set_property("memory_size"))
summaries_path = property(BaseConfig.get_property("summaries_path"),
BaseConfig.set_property("summaries_path"))
replace_frequency = property(BaseConfig.get_property("replace_frequency"),
BaseConfig.set_property("replace_frequency"))
update_steps = property(BaseConfig.get_property("update_steps"),
BaseConfig.set_property("update_steps"))
update_start = property(BaseConfig.get_property("update_start"),
BaseConfig.set_property("update_start"))
beta_timesteps = property(BaseConfig.get_property("beta_timesteps"),
BaseConfig.set_property("beta_timesteps"))
beta_initial = property(BaseConfig.get_property("beta_initial"),
BaseConfig.set_property("beta_initial"))
beta_final = property(BaseConfig.get_property("beta_final"),
BaseConfig.set_property("beta_final"))
decay_steps = property(BaseConfig.get_property("decay_steps"),
BaseConfig.set_property("decay_steps"))
decay_rate = property(BaseConfig.get_property("decay_rate"),
BaseConfig.set_property("decay_rate"))
use_prior_memory = property(BaseConfig.get_property("use_prior_memory"),
BaseConfig.set_property("use_prior_memory"))
is_random_agent_1 = property(BaseConfig.get_property("is_random_agent_1"),
BaseConfig.set_property("is_random_agent_1"))
is_random_agent_2 = property(BaseConfig.get_property("is_random_agent_2"),
BaseConfig.set_property("is_random_agent_2"))
collecting_experience = property(
BaseConfig.get_property("collecting_experience"),
BaseConfig.set_property("collecting_experience"))
is_use_sepcific_enemy = property(
BaseConfig.get_property("is_use_sepcific_enemy"),
BaseConfig.set_property("is_use_sepcific_enemy"))
enemy_path = property(BaseConfig.get_property("enemy_path"),
BaseConfig.set_property("enemy_path"))
class EvaluationConfig(BaseConfig):
""" Everything related to evaluations """
def __init__(self, config=None):
super(EvaluationConfig, self).__init__(
config=config, default_config=default_evaluation_config)
name = property(BaseConfig.get_property("name"),
BaseConfig.set_property("name"))
env = property(BaseConfig.get_property("env"),
BaseConfig.set_property("env"))
summaries_path = property(BaseConfig.get_property("summaries_path"),
BaseConfig.set_property("summaries_path"))
training_episodes = property(BaseConfig.get_property("training_episodes"),
BaseConfig.set_property("training_episodes"))
test_episodes = property(BaseConfig.get_property("test_episodes"),
BaseConfig.set_property("test_episodes"))
render = property(BaseConfig.get_property("render"),
BaseConfig.set_property("render"))
contrastive = property(BaseConfig.get_property("contrastive"),
BaseConfig.set_property("contrastive"))
sleep = property(BaseConfig.get_property("sleep"),
BaseConfig.set_property("sleep"))
generate_xai_replay = property(BaseConfig.get_property("generate_xai_replay"),
BaseConfig.set_property("generate_xai_replay"))
xai_replay_dimension = property(BaseConfig.get_property("xai_replay_dimension"),
BaseConfig.set_property("xai_replay_dimension"))
result_path = property(BaseConfig.get_property("result_path"),
BaseConfig.set_property("result_path"))
explanation = property(BaseConfig.get_property("explanation"),
BaseConfig.set_property("explanation"))
explanation_path = property(BaseConfig.get_property("explanation_path"),
BaseConfig.set_property("explanation_path"))
is_state_pair_test_exp = property(BaseConfig.get_property("is_state_pair_test_exp"),
BaseConfig.set_property("is_state_pair_test_exp"))