deer
0.2
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Q-networks
deer
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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
|
F
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I
|
L
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M
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N
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O
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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
A
act() (deer.base_classes.Environment method)
actions() (deer.agent.DataSet method)
addSample() (deer.agent.DataSet method)
avgBellmanResidual() (deer.agent.NeuralAgent method)
avgEpisodeVValue() (deer.agent.NeuralAgent method)
B
bestAction() (deer.agent.NeuralAgent method)
C
chooseBestAction() (deer.base_classes.QNetwork method)
(deer.q_networks.q_net_theano.MyQNetwork method)
Controller (class in deer.experiment.base_controllers)
D
DataSet (class in deer.agent)
deer.agent (module)
deer.base_classes.Environment (module)
deer.base_classes.QNetwork (module)
deer.experiment.base_controllers (module)
discountFactor() (deer.agent.NeuralAgent method)
(deer.base_classes.QNetwork method)
DiscountFactorController (class in deer.experiment.base_controllers)
E
Environment (class in deer.base_classes)
epsilon() (deer.agent.NeuralAgent method)
EpsilonController (class in deer.experiment.base_controllers)
F
FindBestController (class in deer.experiment.base_controllers)
I
inputDimensions() (deer.base_classes.Environment method)
InterleavedTestEpochController (class in deer.experiment.base_controllers)
inTerminalState() (deer.base_classes.Environment method)
L
learningRate() (deer.agent.NeuralAgent method)
(deer.base_classes.QNetwork method)
LearningRateController (class in deer.experiment.base_controllers)
M
MyQNetwork (class in deer.q_networks.q_net_theano)
N
nActions() (deer.base_classes.Environment method)
nElems() (deer.agent.DataSet method)
NeuralAgent (class in deer.agent)
O
observations() (deer.agent.DataSet method)
observationType() (deer.base_classes.Environment method)
observe() (deer.base_classes.Environment method)
OnActionChosen() (deer.experiment.base_controllers.Controller method)
OnActionTaken() (deer.experiment.base_controllers.Controller method)
OnEnd() (deer.experiment.base_controllers.Controller method)
OnEpisodeEnd() (deer.experiment.base_controllers.Controller method)
OnEpochEnd() (deer.experiment.base_controllers.Controller method)
OnStart() (deer.experiment.base_controllers.Controller method)
overrideNextAction() (deer.agent.NeuralAgent method)
Q
QNetwork (class in deer.base_classes)
qValues() (deer.base_classes.QNetwork method)
(deer.q_networks.q_net_theano.MyQNetwork method)
R
randomBatch() (deer.agent.DataSet method)
reset() (deer.base_classes.Environment method)
rewards() (deer.agent.DataSet method)
S
setActive() (deer.experiment.base_controllers.Controller method)
setControllersActive() (deer.agent.NeuralAgent method)
setDiscountFactor() (deer.agent.NeuralAgent method)
(deer.base_classes.QNetwork method)
setEpsilon() (deer.agent.NeuralAgent method)
setLearningRate() (deer.agent.NeuralAgent method)
(deer.base_classes.QNetwork method)
summarizePerformance() (deer.base_classes.Environment method)
T
terminals() (deer.agent.DataSet method)
totalRewardOverLastTest() (deer.agent.NeuralAgent method)
train() (deer.base_classes.QNetwork method)
(deer.q_networks.q_net_theano.MyQNetwork method)
TrainerController (class in deer.experiment.base_controllers)
U
update_priorities() (deer.agent.DataSet method)
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