Environments

See here the documentation: docs/Environment

• MAB, MarkovianMAB, DynamicMAB and IncreasingMAB objects, used to wrap the problems (list of arms).
• Result and ResultMultiPlayers objects, used to wrap simulation results (list of decisions and rewards).
• Evaluator environment, used to wrap simulation, for the single player case.
• EvaluatorMultiPlayers environment, used to wrap simulation, for the multi-players case.
• EvaluatorSparseMultiPlayers environment, used to wrap simulation, for the multi-players case with sparse activated players.
• CollisionModels implements different collision models.

And useful constants and functions for the plotting and stuff are in the __init__.py file:

• DPI, signature, maximizeWindow, palette, makemarkers, wraptext: for plotting
• notify: send a desktop notification
• Parallel, delayed: joblib related
• tqdm: pretty range() loops
• sortedDistance, fairnessMeasures: science related