Teaching Neural Nets to Fight with RL
In this project I wanted to see if any interesting emergent behaviors would appear if we trained two agents to play a streetfighter-like game using RL. Maybe obvious in retrospect, but the agents...
Editorial analysis
The advancement in teaching neural nets to fight with rl demonstrates the accelerating maturity of agent-tool integration protocols. In this project I wanted to see if any interesting emergent behaviors would appear if we trained two agents to play a streetfighter-like game using RL. Maybe obvious in retrospect, but the agents... The Model Context Protocol (MCP) is emerging as the de facto standard for connecting language models to external tools and data sources, analogous to how LSP standardized editor-language server communication. For engineering teams, this means tool integrations can now be written once and reused across multiple agent frameworks and hosts. The security model—capability-based permissions with explicit user approval—addresses the primary enterprise concern around agent autonomy. Teams should evaluate their existing tool surfaces for MCP compatibility and plan migration from framework-specific tool registries. The ecosystem momentum suggests MCP will become a baseline requirement for enterprise AI deployments within the next twelve months.