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awesome-safe-marl
A (very subjective) curated list of Safe Multi-agent Reinforcement Learning resources
https://github.com/cor3bit/awesome-safe-marl
- Constrained Policy Optimization
- Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
- Algorithms for Decision Making
- Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations - Brown
- Multi-Agent Coordination: A Reinforcement Learning Approach
- Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments
- Multi-agent Reinforcement Learning: An Overview
- Multi-agent deep reinforcement learning: a survey
- A Survey of Multi-Agent Reinforcement Learning with Communication
- Multiagent Cooperation and Competition with Deep Reinforcement Learning
- Value-Decomposition Networks For Cooperative Multi-Agent Learning
- QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
- QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
- QPLEX: Duplex Dueling Multi-Agent Q-Learning
- Counterfactual Multi-Agent Policy Gradients
- Distributed Multi-Agent Reinforcement Learning by Actor-Critic Method
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning
- Learning Multiagent Communication with Backpropagation
- TarMAC: Targeted Multi-Agent Communication
- Learning to Ground Multi-Agent Communication with Autoencoders
- Differentially Private and Communication Efficient Collaborative Learning
- Distributed Q-Learning for Dynamically Decoupled Systems
- D3PI: Data-Driven Distributed Policy Iteration for Homogeneous Interconnected Systems
- Data-Driven Distributed Optimal Consensus Control for Unknown Multiagent Systems With Input-Delay
- Distributed Q-Learning with State Tracking for Multi-agent Networked Control
- Distributed Adaptive Linear Quadratic Control using Distributed Reinforcement Learning
- Distributed Linear-Quadratic Control with Graph Neural Networks
- Distributed Online Linear Quadratic Control for Linear Time-invariant Systems - Jui Chang, Shahin Shahrampour, 2020.
- Learning Distributed Stabilizing Controllers for Multi-Agent Systems
- Distributed Nonlinear Model Predictive Control for Connected Autonomous Electric Vehicles Platoon with Distance-Dependent Air Drag Formulation
- Multi-Agent Learning Environments
- PettingZoo Neurips'21 paper
- PettingZoo Documentation
- ma-gym - marl](https://github.com/koulanurag/minimal-marl), set of baselines for vanilla MARL problems by Anurag Koul
- Ray Multi-Agent and Hierarchical Environments
- Awesome MARL