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uzumakix/README.md

i write code to answer questions that bother me.

how do poker players converge on unexploitable strategies. how 50 boats coordinate without a central controller. where exactly 9 metres of braking lives on a race track. how a robot finds a path through a warehouse it has never seen.

python, C, C++, julia. signal processing, game theory, agent-based systems.

mostly simulations. occasionally useful.

projects
bio-mimetic-swarm multi-agent spatial coordination with Lennard-Jones potential fields · python, c
spatial-planning-engine A* and RRT on grid worlds with dynamic obstacles · c++
f1-digital-twin-monza braking deceleration from real F1 telemetry (Monza 2023 Q) · python, c
gto-poker-solver CFR+ Nash equilibrium for Kuhn poker · python, julia
rl-blackjack-solver Monte Carlo exploring starts on blackjack · python

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  1. bio-mimetic-swarm bio-mimetic-swarm Public

    multi-agent spatial coverage with Lennard-Jones potential fields and C-accelerated force computation

    Python

  2. spatial-planning-engine spatial-planning-engine Public

    A* and RRT path planning on grid worlds with dynamic obstacles

    C++

  3. f1-digital-twin-monza f1-digital-twin-monza Public

    braking deceleration analysis from real F1 telemetry (Monza 2023 qualifying)

    Python

  4. gto-poker-solver gto-poker-solver Public

    CFR+ Nash equilibrium solver for Kuhn poker with Julia performance benchmark

    Python

  5. rl-blackjack-solver rl-blackjack-solver Public

    Monte Carlo exploring starts for optimal blackjack policy

    Python