sailik1991 / StackelbergEquilibribumSolversLinks
Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.
☆36Updated 6 years ago
Alternatives and similar repositories for StackelbergEquilibribumSolvers
Users that are interested in StackelbergEquilibribumSolvers are comparing it to the libraries listed below
Sorting:
- Implementing Algorithms for Computing Stackelberg Equilibria in Security Games☆42Updated 8 years ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆29Updated 7 years ago
- ☆16Updated 6 years ago
- This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.☆27Updated 6 months ago
- Package wrote python to solve dynamic Stackelberg game with constraints. Based on ECC 2019 accepted paper titled "Linear quadratic Stacke…☆14Updated 6 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…☆26Updated 6 years ago
- A Matlab Toolbox for Cooperative Game Theory☆45Updated 10 months ago
- Solving Resource Allocation problems with Mixed-Integer Linear Programming in Python☆32Updated 7 years ago
- Computing Nash, Stackelberg game, and other types of equilibrium☆31Updated 5 years ago
- ☆46Updated 4 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…☆62Updated 10 years ago
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆16Updated 3 years ago
- Energy-optimal Routing for Electric Vehicles using Deep Reinforcement Learning with Transformer☆35Updated 2 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆53Updated 6 years ago
- Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …☆37Updated 9 years ago
- 关于MINLP问题的一些资料(Resources of MINLP problem)☆42Updated 5 years ago
- PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplor…☆63Updated 6 years ago
- Simulation Code in Python for the paper entitled "Cooperation Optimized Design for Information Dissemination in Vehicular Networks using …☆13Updated 12 years ago
- Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing☆74Updated 2 years ago
- Matlab implementation of some evolutionary dynamics from game theory, such as: replicator dynamics, smith dynamics, logit dynamics, and B…☆56Updated 7 years ago
- ☆12Updated 6 years ago
- Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.☆14Updated 5 years ago
- DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks☆12Updated 5 months ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Updated last year
- This is a repo for my Bachelor's dissertation, a topic about using Reinforcement Learning to solve EV charge Scheduling question.☆27Updated 2 years ago
- ☆62Updated last year
- ConvertChanceConstraint (ccc): a Matlab toolbox for Chance-constrained Optimization☆58Updated 6 years ago
- Video and other material of ADP course given by BERTSEKAS at THU, 2014☆55Updated 6 years ago
- Code for Deep Neural Network Approximated Dynamic Programming☆17Updated 5 years ago
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆24Updated 7 years ago