Google unveiled the Deep Planning Network (PlaNet) agent, created in collaboration with DeepMind, to provide reinforcement learning via images. Reinforcement learning uses rewards to improve AI agents’ decision-making. Whereas model-free techniques work by getting agents to predict actions from observations, agents created with model-based reinforcement learning come up with a general model of the environment leveraged for decision-making. In unfamiliar surroundings, however, agents must create rules from experience. Continue reading Google Debuts Deep Planning Network Agent with DeepMind