FairTest: Search-Based Fairness Testing for Multi-Agent Reinforcement Learning Systems
cs.SE, cs.LG
Submitted: 2026-09-23
Updated: 2026-09-23
Terminology
Sources
- EcoFair-CH-MARL: Scalable Constrained Hierarchical Multi-Agent RL with Real-Time Emission Budgets and Fairness Guarantees
- Fairness in Multi-agent Reinforcement Learning for Stock Trading
- AdaFair-MARL: Enforcing Adaptive Fairness Constraints in Multi-Agent Reinforcement Learning
- Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
- EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to Grid Energy Management
- Adversarial Attacks on Neural Network Policies
- Evaluating Fuzz Testing for Reinforcement Learning Agents
- Fairness Aware Reinforcement Learning via Proximal Policy Optimization
- Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning
- Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
- Cross-site scripting adversarial attacks based on deep reinforcement learning: Evaluation and extension study
- The StarCraft Multi-Agent Challenge
- Integrated Altruistic and Fairness Preference Induces Advanced Mutual Cooperation in Sequential Social Dilemmas
- Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
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