(AI) Reinforcement Learning (RL)
Reinforcement learning (RL) is a machine learning method where agents learn to make decisions by interacting with an environment to maximize rewards. RL balances exploration and exploitation and is modeled as a Markov decision process. It is used in areas like robotics, games, and language processing but faces challenges like sample inefficiency and stability issues. RL has led to advances in AI, powering applications like AlphaGo and language models trained with human feedback.
