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Stochastic Policies

Types for representing randomized policies:

  • StochasticPolicy samples actions from an arbitrary distribution.
  • UniformRandomPolicy samples actions uniformly (see RandomPolicy for a similar use)
  • CategoricalTabularPolicy samples actions from a categorical distribution with weights given by a ValuePolicy.
POMDPPolicies.StochasticPolicy — Type

StochasticPolicy{D, RNG <: AbstractRNG}

Represents a stochastic policy. Action are sampled from an arbitrary distribution.

Constructor:

`StochasticPolicy(distribution; rng=Random.GLOBAL_RNG)`

Fields

  • distribution::D
  • rng::RNG a random number generator
source
POMDPPolicies.CategoricalTabularPolicy — Type
CategoricalTabularPolicy

represents a stochastic policy sampling an action from a categorical distribution with weights given by a ValuePolicy

constructor:

CategoricalTabularPolicy(mdp::Union{POMDP,MDP}; rng=Random.GLOBAL_RNG)

Fields

  • stochastic::StochasticPolicy
  • value::ValuePolicy
source