Others

I make notes and presentations on various topics.

• (2017) On AlphaGo
• (2018) On distributional reinforcement learning
• (2019) Poster for The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making
• (2020) On market making
• (2020) On risk sensitive reinforcement learning
• (2021) On GameStop and meme stocks
• (2021) On the finance side of cryptocurrency
• (2021) On meta learning
• (2021) Guest lecture on AI in trading
• (2022) Introduction to market experiments
• (2022) On learning and decision making
• (2022) Human, AI and Tail Risk
• (2023) The Statistical Benefits of Quantile TD Learning for Value Estimation
• (2024) Distributional Reinforcement Learning in Prefrontal Cortex
• (2024) Uncertainty-driven regulation of learning and exploration