claim
Foundational techniques for autonomous agent design originate from classic AI approaches, including Probabilistic Graphical Models, Reinforcement Learning, and Multi-Agent Systems, which manage uncertainty, learn optimal behaviors in dynamic environments, and enable agents to interact and share information efficiently.
Authors
Sources
- The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org via serper
- The Synergy of Symbolic and Connectionist AI in LLM ... arxiv.org via serper
Referenced by nodes (4)
- reinforcement learning concept
- artificial intelligence concept
- multi-agent system concept
- autonomous agents concept