Reinforcement Learning and Neural Networks

Daniel and Chris discuss how convolutional neural networks are used within reinforcement learning algorithms to influence policies for decision-making based on visual inputs. They highlight the flexibility of reinforcement learning approaches to accommodate various neural network architectures for solving diverse problems effectively.