Python Module Index

a | b | d | e | g | i | j | m | o | p | r | s | t | v


	a
	`async_game`	Implements an asynchronous multi-agent environment for influencer games.

	b
	`bifurcation_analysis`	Provides bifurcation analysis tools for studying equilibrium dynamics and stability transitions in adaptive environments for influencer games.

	d
	`data_management`	Provides utilities for managing and organizing data files in influencer games experiments.
	`diric`	Implements the Dirichlet influence kernel for modeling agent interactions with resources in simplex domains.

	e
	`experiments`	Provides utilities for running reinforcement learning experiments in the influencer games framework.

	g
	`gauss`	Implements the Gaussian influence kernel for modeling agent interactions with resources in 1D domains.
	`general`	Provides general utility functions for influencer games.
	`grad_func_env`	A module for handling adaptive dynamics for agents interacting in influence games.

	i
	`InflGame`
	`InflGame.adaptive`
	`InflGame.adaptive.bifurcation_analysis`
	`InflGame.adaptive.grad_func_env`
	`InflGame.adaptive.jacobian`
	`InflGame.adaptive.monte_search`
	`InflGame.adaptive.newton_search`
	`InflGame.adaptive.visualization`
	`InflGame.domains`
	`InflGame.domains.one_d`
	`InflGame.domains.one_d.one_plots`
	`InflGame.domains.one_d.one_utils`
	`InflGame.domains.simplex`
	`InflGame.domains.simplex.simplex_plots`
	`InflGame.domains.simplex.simplex_utils`
	`InflGame.domains.two_d`
	`InflGame.domains.two_d.two_plots`
	`InflGame.domains.two_d.two_utils`
	`InflGame.kernels`
	`InflGame.kernels.diric`
	`InflGame.kernels.gauss`
	`InflGame.kernels.jones`
	`InflGame.kernels.MV_gauss`
	`InflGame.MARL`
	`InflGame.MARL.async_game`
	`InflGame.MARL.IQL_async`
	`InflGame.MARL.IQL_sync`
	`InflGame.MARL.MARL_plots`
	`InflGame.MARL.sync_game`
	`InflGame.MARL.utils`
	`InflGame.MARL.utils.experiments`
	`InflGame.MARL.utils.IQL_utils`
	`InflGame.MARL.utils.MARL_utils`
	`InflGame.MARL.utils.my_parse`
	`InflGame.utils`
	`InflGame.utils.data_management`
	`InflGame.utils.general`
	`InflGame.utils.plot_utils`
	`InflGame.utils.smoothing`
	`InflGame.utils.validation`
	`IQL_async`	Implements Independent Q-Learning (IQL) with asynchronous updates for multi-agent reinforcement learning in influencer games.
	`IQL_sync`	Implements Independent Q-Learning (IQL) with synchronized updates for multi-agent reinforcement learning in influencer games.
	`IQL_utils`	Utility functions for Independent Q-Learning (IQL) in multi-agent reinforcement learning (MARL).

	j
	`jones`	Implements the Jones influence kernel for modeling agent interactions in 1D domains.

	m
	`MARL_plots`	Provides visualization tools for analyzing multi-agent reinforcement learning (MARL) performance in influencer games.
	`MARL_utils`	Provides utility functions for multi-agent reinforcement learning (MARL) in influencer games.
	`monte_search`	Provides equilibrium search and analysis tools for adaptive environments in influencer games.
	`MV_gauss`	Implements the multivariate Gaussian influence kernel for modeling agent interactions in 2D domains.
	`my_parse`	Provides argument parsing utilities for RLlib-based scripts in the influencer games framework.

	o
	`one_plots`	Provides 1D visualization tools for analyzing agent dynamics and resource distributions in influencer games.
	`one_utils`	Provides utility functions for setting up and managing 1D domains in influencer games.

	p
	`plot_utils`	Provides plotting utilities for creating and manipulating figures in influencer games visualizations.

	r
	`rd`	Provides resource distribution functions for influencer games.
	`root_finding`	Provides Newton-method-based root finding tools for locating equilibria in adaptive dynamics for influencer games.

	s
	`simplex_plots`	Provides visualization tools for analyzing agent dynamics and resource distributions on simplex domains in influencer games.
	`simplex_utils`	Provides utility functions for setting up and managing simplex domains in influencer games.
	`smoothing`	Provides surface smoothing utilities for 2D gridded data in influencer games visualizations.
	`sync_game`	Implements a synchronized multi-agent environment for influencer games.

	t
	`two_plots`	Provides 2D visualization tools for analyzing agent dynamics and resource distributions in influencer games.
	`two_utils`	Provides utility functions for setting up and managing 2D domains in influencer games.

	v
	`validation`	Provides configuration validation utilities for adaptive influence models in influencer games.
	`Visualization`	Provides visualization tools for analyzing and understanding the dynamics of adaptive environments and agent interactions for influencer games.