[back to home]

[2025-07-07] Recommended reading list

In no particular order:

1. Adachi to Shimamura (2012) by Hitoma Iruma
2. Understanding Self-Predictive Learning for Reinforcement Learning (2023) by Yunhao Tang et al.
3. Yagate Kimi ni Naru (2015) by Nio Nakatani
4. Human-Timescale Adaptation in an Open-Ended Task Space (2023) by the Adaptive Agents Team
5. Koi Yori Aoku (2023) by Kon Fukaumi
6. Learning to Model the World with Language (2023) by Jessy Lin et al.
7. Sasayaku You ni Koi wo Utau (2019) by Eku Takeshima
8. Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster (2025) by Patrick Schnell, Luca Guastoni, and Nils Thuerey