Alternatives and similar repositories for Game_Theory:

Users that are interested in Game_Theory are comparing it to the libraries listed below

• himeinhardt / TuGames
  A Mathematica Package for Cooperative Game Theory
  ☆12Updated 7 months ago
• gavento / gamegym
  A game theory framework with examples and algorithms
  ☆73Updated 5 years ago
• drvinceknight / gt
  Source files for my course on Game Theory.
  ☆32Updated this week
• guojing0 / game-theory
  Programs to test and prove game theory.
  ☆18Updated 10 years ago
• Nikoleta-v3 / Game-Theory-and-Python
  Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma
  ☆179Updated 2 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆29Updated 6 years ago
• gjoncas / Computational-Economics
  Algorithmic game theory, recursive macroeconomics, machine learning for econometrics
  ☆45Updated 6 years ago
• jwmueller / BanditDynamicPricing
  Bandit algorithms for dynamic pricing of many products
  ☆38Updated 5 years ago
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆33Updated last year
• emliang / Multi-Agent-RL
  Paper list of multi-agent reinforcement learning (MARL)
  ☆26Updated 3 years ago
• ALFA-group / bayesopt-nash-eq
  ☆13Updated 6 years ago
• mirzaevinom / egtplot
  egtplot: A python package for 3-Strategy Evolutionary Games
  ☆49Updated 5 years ago
• radar-research-lab / MFGLib
  A library for mean-field games.
  ☆46Updated this week
• oyamad / game_theory_models
  Python code for game theory modeling
  ☆32Updated 2 years ago
• causalincentives / pycid
  Library for graphical models of decision making, based on pgmpy and networkx
  ☆101Updated last year
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆25Updated 6 years ago
• Networks-Learning / counterfactual-explanations-mdp
  Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
  ☆16Updated last year
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆13Updated 3 years ago
• guaguakai / surrogate-optimization-learning
  ☆16Updated 3 years ago
• saisrivatsan / deep-opt-auctions
  Implementation of Optimal Auctions through Deep Learning
  ☆119Updated 5 years ago
• amzn / supply-chain-simulation-environment
  ☆52Updated 3 years ago
• ronanmmurphy / Q-Learning-Algorithm
  Implemented deterministic FrozenLake ‘grid world’ problem where Q-learning agent learned a defined policy to optimally navigate through t…
  ☆10Updated 4 years ago
• flowersteam / EpidemiOptim
  Code for the paper EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models.
  ☆15Updated 2 years ago
• chuangyc / awesome-multiagent-learning
  A curated list of multiagent learning and related area resources.
  ☆75Updated 5 years ago
• rmoehn / piglet_pbvi
  Implementation of point-based value iteration (for POMDPs)
  ☆12Updated 4 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• mip-master / learning_mip
  Your best resource to learn mixed-integer programming to solve practical decision-making problems.
  ☆25Updated 2 years ago
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆26Updated 11 months ago
• antoinedesir / RUMnet
  ☆9Updated last year
• strongio / evolutionary-optimization
  A collection of black-box optimizers with a focus on evolutionary algorithms
  ☆26Updated 4 years ago