#ai-algorithms2 articles

2 articles

AIBullisharXiv – CS AI · 4h ago6

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Automating the Refinement of Reinforcement Learning Specifications

Researchers introduce AutoSpec, a framework that automatically refines reinforcement learning specifications to help AI agents learn complex tasks more effectively. The system improves coarse-grained logical specifications through exploration-guided strategies while maintaining specification soundness, demonstrating promising improvements in solving complex control tasks.

AINeutralarXiv – CS AI · 4h ago0

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Optimization of Edge Directions and Weights for Mixed Guidance Graphs in Lifelong Multi-Agent Path Finding

Researchers propose Mixed Guidance Graph Optimization (MGGO) to improve multi-agent pathfinding systems by optimizing both edge directions and weights in guidance graphs. The paper introduces two MGGO methods, including one using Quality Diversity algorithms with neural networks, to provide stricter guidance for agent movement in lifelong scenarios.