HolaHansi / game_theory
Implementing Algorithms for Computing Stackelberg Equilibria in Security Games
☆39Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for game_theory
- Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.☆35Updated 4 years ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆25Updated 6 years ago
- This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.☆22Updated 4 years ago
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆15Updated 2 years ago
- Package wrote python to solve dynamic Stackelberg game with constraints. Based on ECC 2019 accepted paper titled "Linear quadratic Stacke…☆13Updated 5 years ago
- This is the code provided to support the paper of "Stackelberg Game Theory Based Optimization Model for the Design of Payment Mechanism i…☆24Updated 5 years ago
- Computing Nash, Stackelberg game, and other types of equilibrium☆20Updated 4 years ago
- ☆13Updated 5 years ago
- Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …☆36Updated 8 years ago
- Using WoLF (win or learn fast) PHC (policy hill climbing) algorithm to implement stochastic games☆14Updated 5 years ago
- Energy trading using DQN☆25Updated 5 years ago
- A Matlab Toolbox for Cooperative Game Theory☆37Updated last year
- ☆37Updated 2 years ago
- Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless powe…☆58Updated 9 years ago
- Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.☆11Updated last year
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆49Updated 5 years ago
- Repository to deal with all sort of questions concerning game theory.☆18Updated 10 years ago
- Multi-agent reinforcement learning programs based on Game theory☆34Updated last year
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆20Updated 5 years ago
- Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement L…☆22Updated 9 months ago
- 主从博弈 下层KKT条件 强对偶处理双线性☆54Updated 2 years ago
- Simulation Code in Python for the paper entitled "Cooperation Optimized Design for Information Dissemination in Vehicular Networks using …☆13Updated 11 years ago
- ☆12Updated 5 years ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆27Updated 6 years ago
- An implementation for CVRP problem with A3C+Attention mechanism and GCN☆15Updated 4 years ago
- ☆16Updated 6 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆24Updated 5 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆36Updated 6 years ago
- Solving Resource Allocation problems with Mixed-Integer Linear Programming in Python☆29Updated 6 years ago