MIT researchers present a machine learning framework that allows cooperative or competitive AI agents to find a long-term optimal solution
Reinforcement learning is a method of machine learning in which an artificial agent learns from its mistakes. The agent receives a reward from the researchers when its “positive” actions lead to the desired result. Expert-level performance is achieved when the agent modifies actions to maximize a reward. “Multi-agent reinforcement learning” involves multiple agents working together …