MITテクノロジーレビューのインサイダーパネルでは、最新の技術革新やトレンドについての専門家の見解が共有されます。
Reinforcement learning is a subset of machine learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative rewards. The agent receives feedback in the form of rewards or penalties and adjusts its strategy over time to improve its performance.