Uses of Class
net.pakl.rl.ReinforcementFunction

Packages that use ReinforcementFunction

net.pakl.rl	These are the basic reinforcement learning model classes -- every reinforcement learning problem can be described (minimally) as a World (collection of states), Policy, ValueFunction, and Actions.
org.eyelanguage.rl.reading	Code for the Adaptive Reading Agent; see ReadingMain for parameters and default values.

Uses of ReinforcementFunction in net.pakl.rl

Fields in net.pakl.rl declared as ReinforcementFunction

protected ReinforcementFunction

Agent.reinforcementFunction

Methods in net.pakl.rl with parameters of type ReinforcementFunction

java.lang.String	PolicyExtractor.extractOptimalPolicy(ActionSet naivePolicy, ValueFunction valueFunction, World trainedWorld, World testWorld, ReinforcementFunction rf, double discountFactor)
void	Agent.setReinforcementFunction(ReinforcementFunction newReinforcementFunction)

Uses of ReinforcementFunction in org.eyelanguage.rl.reading

Subclasses of ReinforcementFunction in org.eyelanguage.rl.reading

class	ReadingParallelReinforcementFunction
class	ReadingReinforcementFunction