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Index

A | B | D | E | G | I | L | M | P | R | S | U

A

  • Agent (class in MABpy.base)

B

  • BernoulliEnviroment (class in MABpy.SimpleMAB)

D

  • done (MABpy.base.GameEnviroment attribute)
  • DummyEnviroment (class in MABpy.SimpleMAB)

E

  • eGreedyAgent (class in MABpy.ActionRewardAgents)
  • enGreedyAgent (class in MABpy.ActionRewardAgents)
  • EnvParams (class in MABpy.base)

G

  • GameEnviroment (class in MABpy.base)
  • GaussianEnviroment (class in MABpy.SimpleMAB)
  • getBestAction() (MABpy.base.GameEnviroment method)
  • getBestAvgReward() (MABpy.base.GameEnviroment method)
  • getBestReward() (MABpy.base.GameEnviroment method)
  • GetGameLogs() (MABpy.base.IteractionModel method)
  • getReward() (MABpy.base.GameEnviroment method)
  • getRewardSample() (MABpy.base.GameEnviroment method)

I

  • initEnviromentParams() (MABpy.ActionRewardAgents.SimpleAgent method)
    • (MABpy.ActionRewardAgents.UCB2Agent method)
    • (MABpy.base.Agent method)
  • IteractionModel (class in MABpy.base)

L

  • Learn() (MABpy.base.Agent method)

M

  • MABpy (module)
  • MABpy.ActionRewardAgents (module)
  • MABpy.base (module)
  • MABpy.MarkovianMAB (module)
  • MABpy.SimpleMAB (module)
  • MakeDecision() (MABpy.base.Agent method)

P

  • params (MABpy.base.GameEnviroment attribute)
  • Play() (MABpy.base.IteractionModel method)

R

  • RandomAgent (class in MABpy.ActionRewardAgents)
  • reset() (MABpy.base.GameEnviroment method)
  • Reset() (MABpy.base.IteractionModel method)

S

  • SimpleAgent (class in MABpy.ActionRewardAgents)

U

  • UCB1Agent (class in MABpy.ActionRewardAgents)
  • UCB2Agent (class in MABpy.ActionRewardAgents)

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