A library for mean-field games.
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Updated
Jan 5, 2026 - Python
A library for mean-field games.
A two-player dynamic game where deep Q-learning agents collaborate to find optimal solutions to a stochastic version of the graph coloring problem, featuring α-Rank for joint policy ranking and evaluation.
A tool for computing conditional expected rewards for stochastic games with reachability and total rewards objectives. It has it´s own data type for an stochastic game.
Equilibria computation in zero-sum games.
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