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APReL
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Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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O
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P
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Q
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R
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S
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T
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U
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V
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W
A
acquisition_functions (aprel.querying.query_optimizer.QueryOptimizer attribute)
action_space (aprel.basics.environment.Environment attribute)
addGreedy() (aprel.utils.dpp.Sampler method)
append() (aprel.basics.trajectory.TrajectorySet method)
(aprel.utils.dpp.Sampler method)
aprel.assessing.metrics
module
aprel.basics.environment
module
aprel.basics.trajectory
module
aprel.learning.belief_models
module
aprel.learning.data_types
module
aprel.learning.user_models
module
aprel.querying.acquisition_functions
module
aprel.querying.query_optimizer
module
aprel.utils.batch_utils
module
aprel.utils.dpp
module
aprel.utils.generate_trajectories
module
aprel.utils.kmedoids
module
aprel.utils.sampling_utils
module
aprel.utils.util_functions
module
argplanner() (aprel.querying.query_optimizer.QueryOptimizerDiscreteTrajectorySet method)
B
Belief (class in aprel.learning.belief_models)
boundary_medoids_batch() (aprel.querying.query_optimizer.QueryOptimizerDiscreteTrajectorySet method)
C
clear() (aprel.utils.dpp.Sampler method)
clip_path (aprel.basics.trajectory.Trajectory attribute)
close (aprel.basics.environment.Environment attribute)
close_exists (aprel.basics.environment.Environment attribute)
copy() (aprel.learning.data_types.Query method)
(aprel.learning.user_models.User method)
cosine_similarity() (in module aprel.assessing.metrics)
create_samples() (aprel.learning.belief_models.SamplingBasedBelief method)
D
dataset (aprel.learning.belief_models.SamplingBasedBelief attribute)
default_query_distance() (in module aprel.utils.batch_utils)
delay (aprel.learning.user_models.HumanUser attribute)
Demonstration (class in aprel.learning.data_types)
DemonstrationQuery (class in aprel.learning.data_types)
disagreement() (in module aprel.querying.acquisition_functions)
dpp_batch() (aprel.querying.query_optimizer.QueryOptimizerDiscreteTrajectorySet method)
dpp_mode() (in module aprel.utils.dpp)
E
env (aprel.basics.environment.Environment attribute)
Environment (class in aprel.basics.environment)
exhaustive_search() (aprel.querying.query_optimizer.QueryOptimizerDiscreteTrajectorySet method)
F
features (aprel.basics.environment.Environment attribute)
(aprel.basics.trajectory.Trajectory attribute)
(aprel.learning.data_types.Demonstration attribute)
features_matrix (aprel.basics.trajectory.TrajectorySet attribute)
FullRanking (class in aprel.learning.data_types)
FullRankingQuery (class in aprel.learning.data_types)
G
gaussian_proposal() (in module aprel.utils.sampling_utils)
generate_trajectories_randomly() (in module aprel.utils.generate_trajectories)
get_random_normalized_vector() (in module aprel.utils.util_functions)
getKernel() (aprel.utils.dpp.Kernel method)
(aprel.utils.dpp.ScoredKernel method)
greedy_batch() (aprel.querying.query_optimizer.QueryOptimizerDiscreteTrajectorySet method)
H
HumanUser (class in aprel.learning.user_models)
I
initial_state (aprel.learning.data_types.DemonstrationQuery attribute)
isinteger() (in module aprel.learning.data_types)
K
K (aprel.learning.data_types.FullRankingQuery attribute)
(aprel.learning.data_types.PreferenceQuery attribute)
(aprel.learning.data_types.WeakComparisonQuery attribute)
Kernel (class in aprel.utils.dpp)
kMedoids() (in module aprel.utils.kmedoids)
L
length (aprel.basics.trajectory.Trajectory property)
likelihood() (aprel.learning.user_models.User method)
likelihood_dataset() (aprel.learning.user_models.User method)
LinearRewardBelief (class in aprel.learning.belief_models)
loglikelihood() (aprel.learning.user_models.SoftmaxUser method)
(aprel.learning.user_models.User method)
loglikelihood_dataset() (aprel.learning.user_models.User method)
M
mean (aprel.learning.belief_models.LinearRewardBelief property)
(aprel.learning.belief_models.SamplingBasedBelief property)
medoids_batch() (aprel.querying.query_optimizer.QueryOptimizerDiscreteTrajectorySet method)
module
aprel.assessing.metrics
aprel.basics.environment
aprel.basics.trajectory
aprel.learning.belief_models
aprel.learning.data_types
aprel.learning.user_models
aprel.querying.acquisition_functions
aprel.querying.query_optimizer
aprel.utils.batch_utils
aprel.utils.dpp
aprel.utils.generate_trajectories
aprel.utils.kmedoids
aprel.utils.sampling_utils
aprel.utils.util_functions
mutual_information() (in module aprel.querying.acquisition_functions)
N
num_samples (aprel.learning.belief_models.SamplingBasedBelief attribute)
O
observation_space (aprel.basics.environment.Environment attribute)
optimize() (aprel.querying.query_optimizer.QueryOptimizerDiscreteTrajectorySet method)
P
params (aprel.learning.user_models.User property)
planner() (aprel.querying.query_optimizer.QueryOptimizerDiscreteTrajectorySet method)
Preference (class in aprel.learning.data_types)
PreferenceQuery (class in aprel.learning.data_types)
Q
query (aprel.learning.data_types.QueryWithResponse attribute)
Query (class in aprel.learning.data_types)
QueryOptimizer (class in aprel.querying.query_optimizer)
QueryOptimizerDiscreteTrajectorySet (class in aprel.querying.query_optimizer)
QueryWithResponse (class in aprel.learning.data_types)
R
random() (in module aprel.querying.acquisition_functions)
ratios() (aprel.utils.dpp.Sampler method)
regret() (in module aprel.querying.acquisition_functions)
render (aprel.basics.environment.Environment attribute)
render_exists (aprel.basics.environment.Environment attribute)
reset (aprel.basics.environment.Environment attribute)
respond() (aprel.learning.user_models.HumanUser method)
(aprel.learning.user_models.User method)
response (aprel.learning.data_types.FullRanking attribute)
(aprel.learning.data_types.Preference attribute)
(aprel.learning.data_types.WeakComparison attribute)
response_logprobabilities() (aprel.learning.user_models.SoftmaxUser method)
(aprel.learning.user_models.User method)
response_probabilities() (aprel.learning.user_models.User method)
response_set (aprel.learning.data_types.FullRankingQuery attribute)
(aprel.learning.data_types.PreferenceQuery attribute)
(aprel.learning.data_types.WeakComparisonQuery attribute)
reward() (aprel.learning.user_models.SoftmaxUser method)
S
sample() (aprel.utils.dpp.Sampler method)
sample_ids_mc() (in module aprel.utils.dpp)
Sampler (class in aprel.utils.dpp)
sampling_params (aprel.learning.belief_models.SamplingBasedBelief attribute)
SamplingBasedBelief (class in aprel.learning.belief_models)
ScoredKernel (class in aprel.utils.dpp)
setup_sampler() (in module aprel.utils.dpp)
size (aprel.basics.trajectory.TrajectorySet property)
slate (aprel.learning.data_types.FullRankingQuery property)
(aprel.learning.data_types.PreferenceQuery property)
(aprel.learning.data_types.WeakComparisonQuery property)
SoftmaxUser (class in aprel.learning.user_models)
step (aprel.basics.environment.Environment attribute)
successive_elimination_batch() (aprel.querying.query_optimizer.QueryOptimizerDiscreteTrajectorySet method)
T
thompson() (in module aprel.querying.acquisition_functions)
trajectories (aprel.basics.trajectory.TrajectorySet attribute)
trajectory (aprel.basics.trajectory.Trajectory attribute)
(aprel.learning.data_types.Demonstration attribute)
Trajectory (class in aprel.basics.trajectory)
trajectory_set (aprel.querying.query_optimizer.QueryOptimizerDiscreteTrajectorySet attribute)
TrajectorySet (class in aprel.basics.trajectory)
U
uniform_logprior() (in module aprel.utils.sampling_utils)
update() (aprel.learning.belief_models.Belief method)
(aprel.learning.belief_models.SamplingBasedBelief method)
User (class in aprel.learning.user_models)
user_model (aprel.learning.belief_models.SamplingBasedBelief attribute)
V
visualize() (aprel.basics.trajectory.Trajectory method)
(aprel.learning.data_types.FullRankingQuery method)
(aprel.learning.data_types.PreferenceQuery method)
(aprel.learning.data_types.Query method)
(aprel.learning.data_types.WeakComparisonQuery method)
volume_removal() (in module aprel.querying.acquisition_functions)
W
warmStart() (aprel.utils.dpp.Sampler method)
WeakComparison (class in aprel.learning.data_types)
WeakComparisonQuery (class in aprel.learning.data_types)
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