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PARALLEL_ATTENDABLE_WORDS - Static variable in class org.eyelanguage.rl.reading.SentenceWorldParallel
 
PARALLEL_ATTENTION_ALWAYS_POSITIVE - Variable in class org.eyelanguage.rl.reading.SentenceWorldParallel
 
PARALLEL_DIVIDED_ATTENTION_GRADIENT - Variable in class org.eyelanguage.rl.reading.ReadingMain
 
PARALLEL_LINEAR_ATTENTION_GRADIENT - Variable in class org.eyelanguage.rl.reading.ReadingMain
 
PARALLEL_UNIFORM_ATTENTION - Variable in class org.eyelanguage.rl.reading.ReadingMain
 
parallelAttendableWords - Variable in class org.eyelanguage.rl.reading.ReadingMain
If attention is not serial, The number of words the agent can attend (process lexically) in parallel to the right of attention focus.
ParallelToSerialVFAdapter - Class in org.eyelanguage.rl.reading
Wraps a normal value function but converts parallel states into serial states before relaying state value requests to the value function.
ParallelToSerialVFAdapter(ValueFunction) - Constructor for class org.eyelanguage.rl.reading.ParallelToSerialVFAdapter
 
parseString(String) - Method in class org.eyelanguage.rl.reading.ReadingStateRelative
 
pauseRequested() - Method in class net.pakl.rl.maze.MazeWizardFrame
 
pauseRequested() - Method in interface tools.IsAMonitor
 
performParallelLexicalProcessing(ReadingStateParallelRelative) - Method in class org.eyelanguage.rl.reading.SentenceWorldParallel
Core function of parallel sentence world, allows the parallel attention slots to increment according to an #attentionalGradient.
performValueIteration(ValueFunction, ValueFunction) - Method in class net.pakl.rl.Agent
This is the MAIN learning function in the Agent.
performValueIteration(ValueFunction, ValueFunction) - Method in class net.pakl.rl.AgentParallelized
 
performValueIterationTrajectorySample(ValueFunction, ValueFunction) - Method in class net.pakl.rl.Agent
 
performValueIterationUpdateOnState(ValueFunction, ValueFunction, State) - Method in class net.pakl.rl.Agent
 
policy - Variable in class net.pakl.rl.Agent
 
PolicyExtractor - Class in net.pakl.rl
Outputs the optimal actions given a world (environment) (which includes the starting state), value function and generic policy (describing allowed actions) by picking actions which lead to the next highest-valued state.
PolicyExtractor() - Constructor for class net.pakl.rl.PolicyExtractor
 
predictabilities - Variable in class org.eyelanguage.rl.reading.ReadingMain
reading.prop parameter: Space-separated real numbers specifying the predictability of each word, starting with the second word in the sentence?
previousWordLen - Variable in class org.eyelanguage.rl.reading.ReadingState
 
printStartStateValueEvery - Static variable in class net.pakl.rl.Agent
 
process(String) - Method in class org.eyelanguage.rl.analysis.AgentTestVisualizer
 
process(String) - Method in class org.eyelanguage.rl.analysis.Extractor
 
process(String) - Method in class org.eyelanguage.rl.analysis.LogAnalyzer
 
programmingSaccade - Variable in class org.eyelanguage.rl.reading.ReadingState
True or false indicating whether we are in a saccade or not (but we can only be in a saccade if we performed an action to get into one so do all these need to exist?).
put(Object, Object) - Method in class net.pakl.rl.HashMapDistributed
 
put(Object, Object) - Method in class net.pakl.rl.HashMapFile
 
put(Object, Object) - Method in class net.pakl.rl.HashMapRemote
 
put(Object) - Method in class net.pakl.rl.Queue
place an object onto the end of the queue
put(Object, Object) - Method in class net.pakl.rl.ZippedHashMap
 

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