Collection of materials and code samples on reinforcement learning / optimal control and game theory
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Updated
May 26, 2024 - Python
Collection of materials and code samples on reinforcement learning / optimal control and game theory
Gambit: The package for computation in game theory
🚀 A very efficient Texas Holdem GTO solver
Solutions to Think Complexity by Allen B. Downey
Python implementation of the Gale-Shapley Algorithm.
Create and test your own cell colonies!
Simple implementation of the classic Tic Tac Toe game using Python's Tkinter library for the GUI. Features include player vs. AI gameplay, win and tie detection, and dynamic GUI updates. Easy to play and customize. Enjoy a timeless game of Tic Tac Toe!
Exploring strategic choices over time to evaluate the performance of strategy selection algorithms.
University Project
Bioinformatics University Project
Type-safe abstract trait recorder for 'finite state automata'-like agent
A prisoner's dilemma agent based model simulation for investigating effects of differing strategies on emergent behaviours and spatial patterns with configurable environments.
Implemented the Vanilla CFR algo on subgames of poker like Kunh Poker and Shortest Deck. Additionally has a crude implementation of a Heads Up No Limit Hold'em solver.
Animating and creating scroll-responsive features to create a more interactive way to experience my paper, "Shadows of Future Minds: A Game Theoretic Approach to Novel Agent Emergence".
Computing mixed-strategy Nash Equilibria for games involving multiple players
Algorithmic game theory library for 2 player games and linear programming
Multiplayer Texas Hold'Em poker game written in Elixir with Phoenix LiveView and OTP.
Build efficient programs by learning how to implement data structures using algorithmic techniques and solve various computational problems using the C++
Julia implementation of Knuth's solver for two-person games with an example game
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