Index

A

act() (narla.multi_agent_network.Layer method) (narla.multi_agent_network.MultiAgentNetwork method) (narla.neurons.actor_critic.Neuron method) (narla.neurons.deep_q.Neuron method) (narla.neurons.Neuron method) (narla.neurons.policy_gradient.Neuron method)

action_space (narla.environments.Environment property) ActionSpace (class in narla.environments) ACTIVE_NEURONS (narla.rewards.RewardTypes attribute) ActiveNeurons (class in narla.rewards) ACTIVITY_TRACE (narla.rewards.RewardTypes attribute) ACTOR_CRITIC (narla.neurons.NeuronTypes attribute)

B

batch_size (narla.settings.TrialSettings attribute) biological_reward_types() (narla.rewards.RewardTypes static method)

BiologicalReward (class in narla.rewards) build_connectivity() (narla.multi_agent_network.Layer static method)

C

CART_POLE (narla.environments.GymEnvironments attribute) clear() (narla.history.History method) clone() (narla.neurons.deep_q.Network method) (narla.neurons.policy_gradient.Network method) compute() (narla.rewards.ActiveNeurons method) (narla.rewards.BiologicalReward method) (narla.rewards.LayerSparsity method) (narla.rewards.Reward method)

compute_biological_rewards() (narla.multi_agent_network.MultiAgentNetwork method) create_neuron() (narla.neurons.NeuronSettings method)

D

DEEP_Q (narla.neurons.NeuronTypes attribute) device (narla.settings.TrialSettings attribute)

distribute_to_layers() (narla.multi_agent_network.MultiAgentNetwork method) distribute_to_neurons() (narla.multi_agent_network.Layer method)

E

Environment (class in narla.environments) environment_settings (narla.settings.Settings attribute)

environments (narla.runner.RunnerSettings attribute) episode_reward (narla.environments.Environment property) execute() (narla.runner.Runner method)

F

forward() (narla.neurons.actor_critic.Network method) (narla.neurons.deep_q.Network method) (narla.neurons.Network method) (narla.neurons.policy_gradient.Network method)

G

get() (narla.history.History method) get_returns() (narla.neurons.actor_critic.Neuron method) (narla.neurons.policy_gradient.Neuron method)

gpu (narla.settings.TrialSettings attribute) gpus (narla.runner.RunnerSettings attribute) GymEnvironment (class in narla.environments)

H

has_been_solved() (narla.environments.Environment method) (narla.environments.GymEnvironment method)

History (class in narla.history) history (narla.multi_agent_network.MultiAgentNetwork property) (narla.neurons.Neuron property)

I

is_done() (narla.runner.Job method) (narla.runner.Runner method)

J

Job (class in narla.runner)

jobs_per_gpu (narla.runner.RunnerSettings attribute)

L

Layer (class in narla.multi_agent_network) layer_output (narla.multi_agent_network.Layer property) layer_settings (narla.multi_agent_network.MultiAgentNetworkSettings attribute) LAYER_SPARSITY (narla.rewards.RewardTypes attribute) layers (narla.multi_agent_network.MultiAgentNetwork property) LayerSettings (class in narla.multi_agent_network) LayerSparsity (class in narla.rewards) learn() (narla.multi_agent_network.Layer method) (narla.multi_agent_network.MultiAgentNetwork method) (narla.neurons.actor_critic.Neuron method) (narla.neurons.deep_q.Neuron method) (narla.neurons.Neuron method) (narla.neurons.policy_gradient.Neuron method)

learning_rate (narla.neurons.NeuronSettings attribute) learning_rates (narla.runner.RunnerSettings attribute) local_connectivity (narla.multi_agent_network.MultiAgentNetworkSettings attribute) (narla.runner.RunnerSettings attribute)

M

maximum_episodes (narla.settings.TrialSettings attribute) MOUNTAIN_CAR (narla.environments.GymEnvironments attribute)

multi_agent_network_settings (narla.settings.Settings attribute) MultiAgentNetwork (class in narla.multi_agent_network) MultiAgentNetworkSettings (class in narla.multi_agent_network)

N

Network (class in narla.neurons) (class in narla.neurons.actor_critic) (class in narla.neurons.deep_q) (class in narla.neurons.policy_gradient) Neuron (class in narla.neurons) (class in narla.neurons.actor_critic) (class in narla.neurons.deep_q) (class in narla.neurons.policy_gradient) neuron_settings (narla.multi_agent_network.LayerSettings attribute) neuron_type (narla.neurons.NeuronSettings attribute)

neuron_types (narla.runner.RunnerSettings attribute) neurons (narla.multi_agent_network.Layer property) NeuronSettings (class in narla.neurons) NeuronTypes (class in narla.neurons) number_of_actions (narla.environments.ActionSpace property) number_of_layers (narla.multi_agent_network.MultiAgentNetworkSettings attribute) (narla.runner.RunnerSettings attribute) number_of_neurons (narla.multi_agent_network.Layer property) number_of_neurons_per_layer (narla.multi_agent_network.LayerSettings attribute) (narla.runner.RunnerSettings attribute)

O

observation_size (narla.environments.Environment property) (narla.environments.GymEnvironment property)

P

POLICY_GRADIENT (narla.neurons.NeuronTypes attribute)

PREDICTION (narla.rewards.RewardTypes attribute) product() (narla.runner.RunnerSettings method)

R

random_seed (narla.settings.TrialSettings attribute) record() (narla.history.History method) (narla.multi_agent_network.MultiAgentNetwork method) (narla.neurons.Neuron method) reset() (narla.environments.Environment method) (narla.environments.GymEnvironment method)

results_directory (narla.settings.TrialSettings attribute) Reward (class in narla.rewards) reward_types (narla.multi_agent_network.MultiAgentNetworkSettings attribute) (narla.runner.RunnerSettings attribute) RewardTypes (class in narla.rewards) Runner (class in narla.runner) RunnerSettings (class in narla.runner)

S

sample() (narla.environments.ActionSpace method) (narla.history.History method) sample_history() (narla.neurons.deep_q.Neuron method) save_every (narla.settings.TrialSettings attribute) Settings (class in narla.settings)

settings (narla.runner.RunnerSettings attribute) shape (narla.environments.ActionSpace property) stack() (narla.history.History method) step() (narla.environments.Environment method) (narla.environments.GymEnvironment method)

T

TASK_REWARD (narla.rewards.RewardTypes attribute) to_data_frame() (narla.history.History method) to_neuron_type() (narla.neurons.NeuronTypes method) to_reward() (narla.rewards.RewardTypes method) training (narla.neurons.actor_critic.Network attribute) (narla.neurons.deep_q.Network attribute) (narla.neurons.Network attribute) (narla.neurons.policy_gradient.Network attribute)

trial_id (narla.settings.TrialSettings attribute) trial_settings (narla.settings.Settings attribute) TrialSettings (class in narla.settings)

U

update_target_network() (narla.neurons.deep_q.Neuron method)