rl_arms_get_outcome: Get Arm's Outcome based on its Probability and Reward...

In jdtrat/rlsims: Simulate Reinforcement Learning Agents in R

Get Arm's Outcome based on its Probability and Reward Structure

Description

This function defines the reinforcement delivery for an individual arm, and is used internaly by RL Bandit Agents. With probability prob, it an arm will yield a reinforcement of magnitude; with probability 1 - prob, an arm will yield a reinforcement of alternative (default of zero).

Usage

rl_arms_get_outcome(arm_definitions, action, trial)

Arguments

arm_definitions	A list of arm definitions where each element contains a data frame with columns 'probability', 'magnitude', 'alternative', and 'trial' describing, respectively, the probability of receiving a reward magnitude with the alternative for each trial.
action	A numeric scalar representing which action was selected on a given trial.
trial	The trial in which an action was selected.

Value

A numeric reinforcement defined by magnitude (with probability prob) or alternative (with probability 1 - prob).

jdtrat/rlsims documentation built on March 26, 2022, 6:17 p.m.