Model: RSTD

$$V_{new} = V_{old} + \eta_{+} \cdot (R - V_{old}), R > V_{old}$$ $$V_{new} = V_{old} + \eta_{-} \cdot (R - V_{old}), R < V_{old}$$

Usage

RSTD(params)

Arguments

params

[vector]

algorithm packages accept only one argument

Value

loss [numeric]

algorithm packages accept only one return

Examples

if (FALSE) { # \dontrun{
RSTD <- function(params) {
  res <- binaryRL::run_m(
    data = data,
    id = id,
    eta = c(params[1], params[2]),
    tau = c(params[3]),
    priors = priors,
    n_params = n_params,
    n_trials = n_trials,
    mode = mode,
    policy = policy
  )

  assign(x = "binaryRL.res", value = res, envir = binaryRL.env)
  loss <- switch(EXPR = estimate, "MLE" = -res$ll, "MAP" = -res$lpo)
  switch(EXPR = mode, "fit" = loss, "simulate" = res, "replay" = res)
}
} # }