Multi-Agent Reinforcement Learning

Multi-agent reinforcement learning is a agent based model in which each agent is driven by reinforcement learning so it's got its own reward function. There are still many tools in physics that can be productively used to treat multi-agent systems such as training equation right and so on. That at some point maybe i'll get back to tensor networks as well, he says. "I had some quantum computing is definitely something like but this is like perpetual you know perpetual like perpetual bond"