guaguakai / equilibrium_gradientLinks
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 3 years ago
Alternatives and similar repositories for equilibrium_gradient
Users that are interested in equilibrium_gradient are comparing it to the libraries listed below
Sorting:
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆15Updated 2 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Updated 2 years ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆27Updated 6 years ago
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆58Updated 3 years ago
- ☆25Updated last year
- Multi-task end-to-end predict-then-optimize☆12Updated 2 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 6 years ago
- ☆19Updated 3 years ago
- Experiments for distributed optimization algorithms☆74Updated 2 years ago
- ☆36Updated 2 years ago
- ☆14Updated 3 years ago
- [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…☆96Updated last month
- 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
- Reinforcement Learning Environments for Sustainable Energy Systems☆51Updated last year
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆39Updated 6 years ago
- FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)☆43Updated 6 months ago
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆20Updated last year
- Implementation of the Adaptive Contextual Combinatorial Upper Confidence Bound (ACC-UCB) algorithm for the contextual combinatorial volat…☆20Updated 5 years ago
- Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.☆36Updated 5 years ago
- [NeurIPS 2024] Code for Federated Ensemble-Directed Offline Reinforcement Learning☆24Updated 8 months ago
- ☆24Updated last year
- This repo provide code for paper "FedCBO: Reaching Consensus in Clustered Federated Learning through Consensus-based Optimization".☆11Updated 2 years ago
- ☆14Updated last year
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆17Updated 3 years ago
- Benchmark for bi-level optimization solvers☆46Updated 2 weeks ago
- Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning☆15Updated 5 years ago
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- ☆39Updated 5 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆27Updated last year