TAXONS  0.1
Task Agnostic eXploration of Outcome spaces through Novelty and Surprise
parameters.Params Class Reference
Inheritance diagram for parameters.Params:
Collaboration diagram for parameters.Params:

Public Member Functions

def __init__ (self)
 
def set_env_params (self)
 
def set_exp_params (self)
 
def save (self)
 
def load (self, load_path)
 
def seed (self)
 
def seed (self, seed)
 

Public Attributes

 info
 
 exp_name
 
 exp
 
 env_tag
 
 threads
 
 save_path
 
 seed
 
 parallel
 
 pop_size
 
 use_archive
 
 mutation_rate
 
 metric
 
 feature_size
 
 learning_rate
 
 lr_scale_fact
 
 per_agent_update
 
 train_on_archive
 
 update_interval
 
 max_episode_len
 
 qd_agent
 
 agent_shapes
 
 generations
 
 optimizer
 
 update_metric
 
 gpu
 

Constructor & Destructor Documentation

def parameters.Params.__init__ (   self)

Member Function Documentation

def parameters.Params.load (   self,
  load_path 
)
def parameters.Params.save (   self)
def parameters.Params.seed (   self)
def parameters.Params.seed (   self,
  seed 
)
def parameters.Params.set_env_params (   self)
def parameters.Params.set_exp_params (   self)

Member Data Documentation

parameters.Params.agent_shapes
parameters.Params.env_tag
parameters.Params.exp
parameters.Params.exp_name
parameters.Params.feature_size
parameters.Params.generations
parameters.Params.gpu
parameters.Params.info
parameters.Params.learning_rate
parameters.Params.lr_scale_fact
parameters.Params.max_episode_len
parameters.Params.metric
parameters.Params.mutation_rate
parameters.Params.optimizer
parameters.Params.parallel
parameters.Params.per_agent_update
parameters.Params.pop_size
parameters.Params.qd_agent
parameters.Params.save_path
parameters.Params.seed
parameters.Params.threads
parameters.Params.train_on_archive
parameters.Params.update_interval
parameters.Params.update_metric
parameters.Params.use_archive

The documentation for this class was generated from the following file: