ValueTable: Value Table
In reinforcelearn: Reinforcement Learning

Description Arguments Details Usage Examples

Table representing the action value function Q.

`n.states`	[`integer(1)`] Number of states (rows in the value function).
`n.actions`	[`integer(1)`] Number of actions (columns in the value function).
`step.size`	[`numeric(1)`] Step size (learning rate) for gradient descent update.

You can specify the shape of the value table. If omitted the agent will try to configure these automatically from the environment during interaction (therefore the environment needs to have a n.states and n.actions attribute).

makeValueFunction("table", n.states = NULL, n.actions = 1L, step.size = 0.1, initial.value = NULL)