In this episode, we dive into distributional reinforcement learning, including three papers from Google DeepMind and another Cell paper from Harvard. Generated using NotebookLM from Google, this podcast highlights the key findings and implications of this research topic. NotebookLM can make mistakes, so double-check it.
🎧 Read the papers here: [C51, QR-DQN, IQN, Cell paper]
📷 Cover Image Source: imagine.art
🎵 BGM: Artlist.io
🛠️ Credits: NotebookLM by Google