Uses of Interface
edu.iastate.jrelm.core.Action

Packages that use Action
edu.iastate.jrelm.core   
edu.iastate.jrelm.demo   
edu.iastate.jrelm.demo.bandit   
edu.iastate.jrelm.rl   
edu.iastate.jrelm.rl.bushmosteller   
edu.iastate.jrelm.rl.rotherev   
edu.iastate.jrelm.rl.rotherev.variant   
 

Uses of Action in edu.iastate.jrelm.core
 

Classes in edu.iastate.jrelm.core with type parameters of type Action
 interface ActionDomain<I,A extends Action>
          Representation of the space of possible operations an agent can perform in a particular environment.
 

Classes in edu.iastate.jrelm.core that implement Action
 class SimpleAction<O>
          Simple class that implements the Action interface.
 

Uses of Action in edu.iastate.jrelm.demo
 

Classes in edu.iastate.jrelm.demo with type parameters of type Action
 class RothErevAgent<A extends Action<java.lang.Integer>>
          This agent is meant to demonstrate the use of the core components.
 

Uses of Action in edu.iastate.jrelm.demo.bandit
 

Classes in edu.iastate.jrelm.demo.bandit that implement Action
 class BanditAction
           
 

Uses of Action in edu.iastate.jrelm.rl
 

Classes in edu.iastate.jrelm.rl with type parameters of type Action
 class AbstractStatelessPolicy<I,A extends Action>
          An abstract implementation of the StatelessPolicy interface.
 class AbstractStatlessLearner<PA extends RLParameters,I,A extends Action<I>,F extends Feedback,PO extends StatelessPolicy<I,A>>
          Base abstract class for ReinforcementLearner classes that implement algorithms that do not make use of external environmental states.
 interface Policy<AI,A extends Action,SI,S extends State>
          Interface for building a reinforcement learning policy which is typically a mapping from States to Actions.
 interface ReinforcementLearner<PA extends RLParameters,I,A extends Action,F extends Feedback,PO extends Policy>
          For classes that implement reinforcement learning algorithms.
 class SimplePolicy<AI,A extends Action,SI,S extends State>
          A simple implementation of the Policy interface.
 class SimpleStatelessPolicy<I,A extends Action>
          A simple implementation of the StatelessPolicy interface.
 interface StatelessPolicy<I,A extends Action>
          Interface for building a stateless reinforcement learning policy.
 

Fields in edu.iastate.jrelm.rl declared as Action
protected  A SimpleStatelessPolicy.lastAction
           
protected  A SimplePolicy.lastAction
           
 

Uses of Action in edu.iastate.jrelm.rl.bushmosteller
 

Classes in edu.iastate.jrelm.rl.bushmosteller with type parameters of type Action
 class GBMLearner<I,A extends Action<I>>
          An implementation of the Generalized Bush-Mosteller reinforcement learning module.
 

Uses of Action in edu.iastate.jrelm.rl.rotherev
 

Classes in edu.iastate.jrelm.rl.rotherev with type parameters of type Action
 class RELearner<I,A extends Action<I>>
          Roth-Erev Learner The original Roth-Erev reinforcement learning algorithm was presented by A.
 class REPolicy<I,A extends Action>
           
 

Uses of Action in edu.iastate.jrelm.rl.rotherev.variant
 

Classes in edu.iastate.jrelm.rl.rotherev.variant with type parameters of type Action
 class VRELearner<I,A extends Action<I>>
          Variant Roth-Erev Learner