Personalized Multi-Agent Planning for Fair Urban Sensing
Discover MAPUS, a multi-agent system enhancing personalized, fair participatory urban sensing with improved coverage and participant satisfaction.
Reinforcement Learning Environments: Trends & Taxonomy 2024
Explore the latest trends and taxonomy of reinforcement learning environments, revealing paradigm shifts and future AI advancements.
AnalogAgent: Advanced LLM Automation for Analog Circuit Design
Discover AnalogAgent, an innovative LLM-powered system that automates and improves analog circuit design with self-evolving multi-agent technology.
DUPLEX: Dual-System Planning with LLM-Driven Extraction
Discover DUPLEX, a dual-system framework enhancing robotic planning by combining LLM-driven info extraction with symbolic planners for reliable results.
DeepXube: AI-Powered Pathfinding with Learned Heuristics
Discover DeepXube, an open-source Python tool using AI and learned heuristics to optimize pathfinding with advanced search algorithms and parallel processi...