Sadie-Zhao / Zero-Sum-Stochastic-Stackelberg-Games-NeurIPSLinks
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
Sorting:
- Multi-task Multi-agent Soft Actor Critic for SMAC☆12Updated 3 years ago
- ☆12Updated 4 years ago
- Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning☆15Updated 5 years ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆28Updated 6 years ago
- ☆20Updated 5 years ago
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆21Updated 2 years ago
- This repository includes a realization of the resilient projection-based consensus actor-critic algorithm that is resilient to adversaria…☆10Updated 3 years ago
- ☆11Updated 3 years ago
- Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.☆36Updated 5 years ago
- ☆14Updated 5 years ago
- ☆22Updated this week
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆14Updated 3 years ago
- ☆42Updated 3 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆52Updated 6 years ago
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- Implementing Algorithms for Computing Stackelberg Equilibria in Security Games☆42Updated 8 years ago
- Code for "Learning Structured Communication for Multi-Agent Reinforcement Learning" (ICLR 2020 OpenReview)☆9Updated 2 years ago
- ☆11Updated 5 years ago
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆15Updated 5 years ago
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆20Updated 2 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆28Updated 5 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆60Updated 5 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆15Updated 4 years ago
- Testing different RL algorithms for multi-agent environments. From SARSA, QLearning to Independent Q-Learning, Joint Action Learning and …☆11Updated 6 years ago
- Computing Nash, Stackelberg game, and other types of equilibrium☆29Updated 5 years ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆34Updated last year
- Implementation of DyMA-CL, MARL algorithm☆27Updated 5 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆39Updated 6 years ago
- Deep Learning (FS 2020)☆17Updated 2 years ago
- ☆15Updated 5 years ago