Package | Description |
---|---|
net.sourceforge.jabm.learning |
A library of algorithms for individual learning.
|
net.sourceforge.jabm.strategy |
Classes representing the strategies used by the agents in the simulation.
|
Modifier and Type | Class and Description |
---|---|
class |
DumbRandomLearner
A learner that simply plays a random action on each iteration without any
learning.
|
class |
MetaLearner |
class |
NPTRothErevLearner
A modification of RothErev to address parameter degeneracy, and modified
learning with 0-reward.
|
class |
RothErevLearner
A class implementing the Roth-Erev learning algorithm.
|
class |
StatelessQLearner
A memory-less version of the Q-Learning algorithm.
|
Modifier and Type | Field and Description |
---|---|
protected StimuliResponseLearner |
MetaLearner.masterLearner |
protected StimuliResponseLearner[] |
MetaLearner.subLearners |
Modifier and Type | Field and Description |
---|---|
protected StimuliResponseLearner |
RlStrategy.learner |
Modifier and Type | Method and Description |
---|---|
StimuliResponseLearner |
RlStrategy.getLearner() |
Modifier and Type | Method and Description |
---|---|
void |
RlStrategy.setLearner(StimuliResponseLearner learner) |
Constructor and Description |
---|
RlStrategy(Agent agent,
org.springframework.beans.factory.ObjectFactory<Strategy> strategyFactory,
StimuliResponseLearner learner) |
RlStrategy(org.springframework.beans.factory.ObjectFactory<Strategy> strategyFactory,
StimuliResponseLearner learner) |
RlStrategyWithImitation(Agent agent,
org.springframework.beans.factory.ObjectFactory<Strategy> strategyFactory,
StimuliResponseLearner learner) |
RlStrategyWithImitation(org.springframework.beans.factory.ObjectFactory<Strategy> strategyFactory,
StimuliResponseLearner learner) |
Copyright © 2014. All rights reserved.