Env: Environment Object
In XiaoqiLu/PhD-Thesis: Regularized Q-Learning
Description
Usage
Arguments
Details
Value
Examples
Description
The function Env() creates an environment object.
Usage
1
Env(internal_state = 0, rng_state = .Random.seed)
Arguments
internal_state
the internal state ("everything is Markov")
rng_state
the RNG state for non-deterministic evolution
Details
This is an abstract class, and should not be used directly. The purpose of this
class is to provide a recommended template for developers. Standard methods include
Observe, Seed, Step, and Reset.
Value
an environment object (class = "Env")
Examples
1
Env(1)
XiaoqiLu/PhD-Thesis documentation built on March 1, 2021, 10:49 a.m.
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Description Usage Arguments Details Value Examples
Description
The function Env() creates an environment object.
Usage
1 | Env(internal_state = 0, rng_state = .Random.seed)
|
Arguments
internal_state |
the internal state ("everything is Markov") |
rng_state |
the RNG state for non-deterministic evolution |
Details
This is an abstract class, and should not be used directly. The purpose of this
class is to provide a recommended template for developers. Standard methods include
Observe, Seed, Step, and Reset.
Value
an environment object (class = "Env")
Examples
1 | Env(1)
|
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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