SYMBOL INDEX (73 symbols across 9 files)

FILE: agents_landmarks_multiagent.py
  function get_name_brain (line 22) | def get_name_brain(args, idx):
  function get_name_rewards (line 29) | def get_name_rewards(args):
  function get_name_timesteps (line 36) | def get_name_timesteps(args):
  class Environment (line 43) | class Environment(object):
    method __init__ (line 45) | def __init__(self, arguments):
    method run (line 62) | def run(self, agents, file1, file2):

FILE: brain.py
  function huber_loss (line 18) | def huber_loss(y_true, y_predict):
  class Brain (line 29) | class Brain(object):
    method __init__ (line 31) | def __init__(self, state_size, action_size, brain_name, arguments):
    method _build_model (line 44) | def _build_model(self):
    method train (line 94) | def train(self, x, y, sample_weight=None, epochs=1, verbose=0):  # x i...
    method predict (line 98) | def predict(self, state, target=False):
    method predict_one_sample (line 104) | def predict_one_sample(self, state, target=False):
    method update_target_model (line 107) | def update_target_model(self):
    method save_model (line 110) | def save_model(self):

FILE: dqn_agent.py
  class Agent (line 22) | class Agent(object):
    method __init__ (line 27) | def __init__(self, state_size, action_size, bee_index, brain_name, arg...
    method greedy_actor (line 54) | def greedy_actor(self, state):
    method find_targets_per (line 60) | def find_targets_per(self, batch):
    method find_targets_uer (line 100) | def find_targets_uer(self, batch):
    method observe (line 140) | def observe(self, sample):
    method decay_epsilon (line 152) | def decay_epsilon(self):
    method replay (line 166) | def replay(self):
    method update_target_model (line 191) | def update_target_model(self):

FILE: environments/agents_landmarks/env.py
  class agentslandmarks (line 32) | class agentslandmarks:
    method __init__ (line 41) | def __init__(self, args, current_path):
    method set_positions_idx (line 85) | def set_positions_idx(self):
    method reset (line 112) | def reset(self):  # initialize the world
    method step (line 129) | def step(self, agents_actions):
    method update_positions (line 196) | def update_positions(self, pos_list, act_list):
    method action_space (line 226) | def action_space(self):
    method render (line 229) | def render(self):
    method gui_setup (line 281) | def gui_setup(self):
    method find_frequency (line 303) | def find_frequency(self, a, items):

FILE: environments/predators_prey/env.py
  class PredatorsPrey (line 32) | class PredatorsPrey(object):
    method __init__ (line 42) | def __init__(self, args, current_path):
    method set_positions_idx (line 85) | def set_positions_idx(self):
    method reset (line 111) | def reset(self):  # initialize the world
    method fix_prey (line 131) | def fix_prey(self):
    method actor_prey_random (line 134) | def actor_prey_random(self):
    method actor_prey_random_escape (line 137) | def actor_prey_random_escape(self, prey_index):
    method neighbor_finder (line 143) | def neighbor_finder(self, pos):
    method empty_neighbor_finder (line 159) | def empty_neighbor_finder(self, pos):
    method step (line 183) | def step(self, predators_actions):
    method check_catching (line 205) | def check_catching(self):
    method update_positions (line 255) | def update_positions(self, pos_list, act_list):
    method action_space (line 284) | def action_space(self):
    method render (line 287) | def render(self):
    method gui_setup (line 340) | def gui_setup(self):

FILE: predators_prey_multiagent.py
  function get_name_brain (line 23) | def get_name_brain(args, idx):
  function get_name_rewards (line 30) | def get_name_rewards(args):
  function get_name_timesteps (line 37) | def get_name_timesteps(args):
  class Environment (line 44) | class Environment(object):
    method __init__ (line 46) | def __init__(self, arguments):
    method run (line 65) | def run(self, agents, file1, file2):

FILE: prioritized_experience_replay.py
  class Memory (line 12) | class Memory(object):
    method __init__ (line 15) | def __init__(self, capacity, pr_scale):
    method get_priority (line 21) | def get_priority(self, error):
    method remember (line 24) | def remember(self, sample, error):
    method sample (line 30) | def sample(self, n):
    method update (line 48) | def update(self, batch_indices, errors):

FILE: sum_tree.py
  class SumTree (line 4) | class SumTree(object):
    method __init__ (line 6) | def __init__(self, capacity):
    method _propagate (line 12) | def _propagate(self, idx, change):
    method _retrieve (line 20) | def _retrieve(self, idx, s):
    method total (line 32) | def total(self):
    method add (line 35) | def add(self, p, data):
    method update (line 45) | def update(self, idx, p):
    method get (line 59) | def get(self, s):

FILE: uniform_experience_replay.py
  class Memory (line 12) | class Memory(object):
    method __init__ (line 14) | def __init__(self, capacity):
    method remember (line 18) | def remember(self, sample):
    method sample (line 21) | def sample(self, n):