Alternatives and similar repositories for Game_Theory:

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

• gavento / gamegym
  A game theory framework with examples and algorithms
  ☆73Updated 5 years ago
• himeinhardt / TuGames
  A Mathematica Package for Cooperative Game Theory
  ☆12Updated 9 months ago
• drvinceknight / gt
  Source files for my course on Game Theory.
  ☆32Updated last week
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆29Updated 6 years ago
• ALFA-group / bayesopt-nash-eq
  ☆13Updated 6 years ago
• amzn / supply-chain-simulation-environment
  ☆51Updated 3 years ago
• gjoncas / Computational-Economics
  Algorithmic game theory, recursive macroeconomics, machine learning for econometrics
  ☆47Updated 6 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆26Updated 6 years ago
• djrusso / Dynamic-Optimization-Course
  Website for a doctoral course on Dynamic Optimization
  ☆19Updated last year
• chuangyc / awesome-multiagent-learning
  A curated list of multiagent learning and related area resources.
  ☆76Updated 5 years ago
• instadeepai / awesome-marl
  A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
  ☆51Updated 2 years ago
• laurimi / multiagent-prediction-reward
  Multi-agent active perception with prediction rewards
  ☆11Updated 4 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆74Updated 2 years ago
• guojing0 / game-theory
  Programs to test and prove game theory.
  ☆18Updated 10 years ago
• saisrivatsan / deep-opt-auctions
  Implementation of Optimal Auctions through Deep Learning
  ☆123Updated 5 years ago
• automl / learning_environments
  We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.
  ☆21Updated 2 years ago
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆34Updated last year
• linesd / tabular-methods
  Tabular methods for reinforcement learning
  ☆36Updated 4 years ago
• observer4599 / explainable-reinforcement-learning
  Explainable Reinforcement Learning (XRL) Resources
  ☆38Updated 6 months ago
• mirzaevinom / egtplot
  egtplot: A python package for 3-Strategy Evolutionary Games
  ☆49Updated 6 years ago
• moduIo / Deep-Q-network
  Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.
  ☆39Updated 2 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• maxbrenner-ai / Reinforcement-Learning-Papers-Notes
  Notes on many interesting RL papers
  ☆26Updated 5 years ago
• lansiz / nash-finder
  Find Nash equilibrium for all games
  ☆25Updated 2 years ago
• ido90 / CeSoR
  ☆17Updated last year
• embotech / ecos-python
  Python interface for ECOS
  ☆59Updated 9 months ago
• limengbinggz / CUSUM-RL
  Implementation of "Reinforcement Learning in Possibly Nonstationary Environments"
  ☆9Updated 3 weeks ago
• jwmueller / BanditDynamicPricing
  Bandit algorithms for dynamic pricing of many products
  ☆39Updated 5 years ago
• fmaxgarcia / Meta-MDP
  ☆11Updated 5 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆15Updated 6 years ago