guaguakai / equilibrium_gradient
This is the implementation of "Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games", Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, and Milind Tambe published at AAAI 2022
☆9Updated 2 years ago
Alternatives and similar repositories for equilibrium_gradient:
Users that are interested in equilibrium_gradient are comparing it to the libraries listed below
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆15Updated 2 years ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆26Updated 6 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Updated 2 years ago
- ☆14Updated 3 years ago
- ☆12Updated 9 months ago
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆58Updated 3 years ago
- Hybrid action space reinforcement learning algorithms.☆12Updated 3 years ago
- [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…☆91Updated 3 weeks ago
- ☆35Updated 2 years ago
- ☆40Updated 3 years ago
- This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.☆23Updated 5 years ago
- Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.☆36Updated 5 years ago
- Multi-task Multi-agent Soft Actor Critic for SMAC☆12Updated 3 years ago
- FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)☆43Updated 3 months ago
- Benchmark for bi-level optimization solvers☆40Updated 3 months ago
- This is the code provided to support the paper of "Stackelberg Game Theory Based Optimization Model for the Design of Payment Mechanism i…☆25Updated 5 years ago
- Experiments for distributed optimization algorithms☆71Updated last year
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆13Updated 4 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆37Updated 6 years ago
- ☆24Updated last year
- A generic optimization method for any integer programming problem☆90Updated 4 years ago
- Deep-Learning-powered-Iterative-Combinatorial Auctions☆14Updated last year
- This repo provide code for paper "FedCBO: Reaching Consensus in Clustered Federated Learning through Consensus-based Optimization".☆9Updated last year
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆14Updated 2 years ago
- The following code is a mixed integer linear programming (MILP) optimisation for an multi period economic load dispatch problem. It is im…☆11Updated 3 years ago
- Computing Nash, Stackelberg game, and other types of equilibrium☆25Updated 4 years ago
- ☆24Updated last year
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆26Updated 2 years ago
- ☆14Updated 5 years ago