Deep Reinforcement Learning Limitations

Thomas discusses the limitations of deep reinforcement learning, including sampling inefficiency and the inability to transfer learning to other agents. He highlights the challenge of generalization and shares an example of an agent performing poorly when the background color of a game was changed.