great talks
I have learned a great deal from the broader robot learning and reinforcement learning communities over the past few years. Below is a non-exhaustive, chronological collection of talks that have shaped my research perspective and taste.
Some recordings differ from the versions I originally heard; where necessary, I have linked to the closest publicly available matches.
| Talk | Speaker | Media |
|---|---|---|
| Trying to Make Sense of Control from Pixels (2019) | Ben Recht | |
| Backstories Behind How Various Papers Came About (2020) | Pieter Abbeel | |
| AlphaGo, AlphaZero, and Deep Reinforcement Learning (2020) | David Silver, Lex Fridman | |
| Interactive Imitation Learning: Planning Alongside Humans (2022) | Sanjiban Choudhury | |
| Should I Imitate or Reinforce? (2022) | Sergey Levine | |
| Towards Safe, Data-Driven Autonomy (2022) | Marco Pavone | |
| Interview with Martin Riedmiller (2023) | Martin Riedmiller, Robin Chauhan |  Listen on Apple Podcasts |
| Scaling Up to Build Generalizable Robots (2024) | Ani Kembhavi | |
| Living Through Hype Cycles for Hard-Tech Companies (2025) | Xiaodi Hou | |
| Interview with Yuandong Tian, Part 1 (in Chinese) (2025) | Yuandong Tian, Qian Chen | |
| Interview with Jiayi Weng (in Chinese) (2026) | Jiayi Weng, Tairan He | |
| Generative Control, Action Chunking, and Moravec’s Paradox (2026) | Max Simchowitz | |
| Physical Agents that Learn from Experience (2026) | Andrew Wagenmaker | |
| Three Eras of Robot Learning (2026) | Ted Xiao | |
| Interview with Yuandong Tian, Part 2 (in Chinese) (2026) | Yuandong Tian, Qian Chen | |