Function reference • rlsims

All functions
`rl_action_simulate()`	Simulate an RL Agent's Action
`rl_action_simulate(<epsilonGreedy>)`	Simulate an Action with a 'Epsilon-Greedy' Choice Policy
`rl_action_simulate(<greedy>)`	Simulate an Action with a 'Greedy' Choice Policy
`rl_action_simulate(<softmax>)`	Simulate an Action with a 'Softmax' Choice Policy
`rl_arms_get_outcome()`	Get Arm's Outcome based on its Probability and Reward Structure
`rl_define_arms()`	Define the Arm Structure
`rl_define_new_agent()`	Define a New RL Agent
`rl_define_policy()`	Define the Action-Selection Policy for an RL Agent
`rl_define_reinforcements_array()`	Define Reinforcements Array for Tracking Cues in RL Agent's Environment
`rl_define_stimuli_array()`	Define Cue Array for Tracking Cues in RL Agent's Environment
`use_agent_template()`	Use an RL Agent Template from rlsims Package
`zeros()`	Create a zero matrix.

Reference