CPU-first experiments on predictive correspondences between adaptive dynamical systems
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Updated
Aug 13, 2026 - Python
CPU-first experiments on predictive correspondences between adaptive dynamical systems
Solver for repeated payoff-matrix games that adapts to non-stationary opponents.
Rock paper scissors against a Hedge ensemble that learns your habits — beats patterned players 80-100% while correctly settling at chance against true randomness.
Implementation and empirical evaluation of external, internal, and swap-regret algorithms under full-information and bandit feedback, with applications to repeated games and correlated equilibria.
This rep contains the projects made for the course "Reinforcement Learning and Dynamic Optimization" at TUC (2024).
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