burlap.behavior.singleagent.learnfromdemo.mlirl.support

Interface DifferentiableRF

All Superinterfaces:

ParametricFunction, RewardFunction

All Known Implementing Classes:

DiffVFRF, LinearDiffRFVInit, LinearStateActionDifferentiableRF, LinearStateDifferentiableRF

public interface DifferentiableRF
extends RewardFunction, ParametricFunction

An interface for defining differentiable reward functions.

Author:

James MacGlashan.

Nested Class Summary

Nested classes/interfaces inherited from interface burlap.behavior.singleagent.vfa.ParametricFunction

ParametricFunction.ParametricStateActionFunction, ParametricFunction.ParametricStateFunction

Method Summary

Methods

Modifier and Type	Method and Description
FunctionGradient	gradient(State s, GroundedAction a, State sprime)

Methods inherited from interface burlap.oomdp.singleagent.RewardFunction

reward

Methods inherited from interface burlap.behavior.singleagent.vfa.ParametricFunction

copy, getParameter, numParameters, resetParameters, setParameter

Method Detail

gradient

FunctionGradient gradient(State s,
                        GroundedAction a,
                        State sprime)