rl_set_policy_internal: Generate Policy List
In jdtrat/rlsims: Simulate Reinforcement Learning Agents in R
View source: R/func-rl_policies.R
rl_set_policy_internal R Documentation
Generate Policy List
Description
Generate Policy List
Usage
rl_set_policy_internal(policy, ...)
Arguments
policy
What policy should a decision be made under? Currently
supported are softmax, greedy, and epsilon-greedy.
...
Additional arguments passed to or from specific methods, such as
tau when policy = "softmax" and epsilon when policy = "epsilonGreedy".
Value
A list with a policy "type" and, if applicable, parameters.
jdtrat/rlsims documentation built on March 26, 2022, 6:17 p.m.
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View source: R/func-rl_policies.R
| rl_set_policy_internal | R Documentation |
Generate Policy List
Description
Generate Policy List
Usage
rl_set_policy_internal(policy, ...)
Arguments
policy |
What policy should a decision be made under? Currently supported are softmax, greedy, and epsilon-greedy. |
... |
Additional arguments passed to or from specific methods, such as
|
Value
A list with a policy "type" and, if applicable, parameters.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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