Stanford Researchers Develop Multi-Agent Reinforcement Learning Framework to Enhance AI Communication in Social Deduction Games
Recent advancements in artificial intelligence, particularly in multi-agent environments like reinforcement learning, focus on enhancing AI communication through natural language. One major challenge is enabling AI agents to share knowledge effectively, especially when they only see parts of their environment. A research team from Stanford University has tackled this by training AI agents in social ...