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Uses of Action in edu.iastate.jrelm.core |
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Classes in edu.iastate.jrelm.core with type parameters of type Action | |
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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 | |
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class |
SimpleAction<O>
Simple class that implements the Action interface. |
Uses of Action in edu.iastate.jrelm.demo |
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Classes in edu.iastate.jrelm.demo with type parameters of type Action | |
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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 |
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Classes in edu.iastate.jrelm.demo.bandit that implement Action | |
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class |
BanditAction
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Uses of Action in edu.iastate.jrelm.rl |
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Classes in edu.iastate.jrelm.rl with type parameters of type Action | |
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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 | |
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protected A |
SimpleStatelessPolicy.lastAction
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protected A |
SimplePolicy.lastAction
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Uses of Action in edu.iastate.jrelm.rl.bushmosteller |
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Classes in edu.iastate.jrelm.rl.bushmosteller with type parameters of type Action | |
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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 |
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Classes in edu.iastate.jrelm.rl.rotherev with type parameters of type Action | |
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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>
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Uses of Action in edu.iastate.jrelm.rl.rotherev.variant |
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Classes in edu.iastate.jrelm.rl.rotherev.variant with type parameters of type Action | |
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class |
VRELearner<I,A extends Action<I>>
Variant Roth-Erev Learner |
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