Sadie-Zhao / Zero-Sum-Stochastic-Stackelberg-Games-NeurIPS
This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".
☆15Updated 2 years ago
Alternatives and similar repositories for Zero-Sum-Stochastic-Stackelberg-Games-NeurIPS:
Users that are interested in Zero-Sum-Stochastic-Stackelberg-Games-NeurIPS are comparing it to the libraries listed below
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆26Updated 6 years ago
- ☆14Updated 5 years ago
- Multi-task Multi-agent Soft Actor Critic for SMAC☆12Updated 3 years ago
- This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.☆23Updated 5 years ago
- Computing Nash, Stackelberg game, and other types of equilibrium☆26Updated 4 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…☆25Updated 5 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
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆13Updated 3 years ago
- Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning☆13Updated 5 years ago
- Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.☆36Updated 5 years ago
- ☆12Updated 4 years ago
- Hybrid action space reinforcement learning algorithms.☆12Updated 3 years ago
- ☆9Updated 3 years ago
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆19Updated 2 years ago
- ☆40Updated 3 years ago
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆14Updated 5 years ago
- Implementing Algorithms for Computing Stackelberg Equilibria in Security Games☆41Updated 7 years ago
- Code for "Convergence of Learning Dynamics in Stackelberg Games"☆13Updated 5 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆28Updated 3 years ago
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆21Updated 6 years ago
- This repository includes a realization of the resilient projection-based consensus actor-critic algorithm that is resilient to adversaria…☆10Updated 2 years ago
- ☆12Updated 5 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 6 years ago
- ☆20Updated 5 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆25Updated 5 years ago
- This is the implementation of "Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games", Kai…☆9Updated 2 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆14Updated 3 years ago
- Testing different RL algorithms for multi-agent environments. From SARSA, QLearning to Independent Q-Learning, Joint Action Learning and …☆11Updated 5 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆24Updated 2 years ago