To write a mighty book, you must choose a mighty theme.
Madame Bovary Novel by Gustave Flaubert
Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets Book by Nassim Nicholas Taleb
Notes from Underground Novel by Fyodor Dostoevsky
Life 3.0: Being Human in the Age of Artificial Intelligence Book by Max Tegmark
The Merchant of Venice Play by William Shakespeare
A Beautiful Math: Game Theory, and the Modern Quest for a Code of Nature Book by Tom Siegfried
Jacques the Fatalist Novel by Denis Diderot
The Art of Game Design:
Theory of Games and Economic Behavior J. Von Neumann, O. Morgenstern
The Right Game: Use Game Theory to Shape Strategy Adam Brandenburger, Barry Nalebuff
Reinforcement Learning:
The Art of Strategy: A Game Theorist's Guide to Success in Business and Life Avinash K. Dixit, Barry J. Nalebuff
Introduction to Stochastic Dynammic Programming Sheldon Ross
Economics: A Very Short Intrtoduction Partha Dasgupta
Game Theory Michael Maschler, Elion Solan, Shmuel Zamir
Macroeconomics N. Gregory Mankiw
Mastering Atari with Discrete World Models (DreamerV2) Danijar Hafner, Timothy Lillicrap, Jimmy Ba, Mohammad Norouzi Google Research & DeepMind (2021)
Training Compute-Optimal Large Language Models (Chinchilla) Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, et al. DeepMind (2022)
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos Bowen Baker, Ilge Akkaya, Peter Zhokhov, et al. OpenAI (2022)
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He Microsoft Research (2021)
Faster Sorting Algorithms Discovered Using Deep Reinforcement Learning (AlphaDev) Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, et al. Google DeepMind (Nature 2023)
Training Language Models to Follow Instructions with Human Feedback (InstructGPT) Long Ouyang, Jeff Wu, Xu Jiang, et al. OpenAI (2022)
Improving Transformer-based ASR with Self-Supervised Learning and Synthetic Audio Data Gong Chen, Yu Zhang, Quan Wang, Ian McGraw, Wei Ping, et al. Apple (Interspeech 2022)
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity William Fedus, Barret Zoph, Noam Shazeer Google Research (2021)