• In Fall 2019, I taught a new course on deep multi-task and meta learning. Lecture videos are available here.
• At ICML 2019 and CVPR 2019, I gave an invited tutorial on Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning. Slides, video, and references are linked here.
• In December 2018, I gave a tutorial on model-based reinforcement learning at the CIFAR LMB program meeting (slides here).
• At ICML 2017, I gave a tutorial with Sergey Levine on Deep Reinforcement Learning, Decision Making, and Control (slides here, video here).
• In August 2017, I gave guest lectures on model-based reinforcement learning and inverse reinforcement learning at the Deep RL Bootcamp (slides here and here, videos here and here).
• In Spring 2017, I co-taught a course on deep reinforcement learning at UC Berkeley. All lecture video and slides are available here.

• I gave a talk on meta-learning for giving feedback to students (slides here) at the ACL 2021 MetaNLP workshop.
• I gave a talk on meta-learning (slides here, video here) at the Samsung AI Forum in 2020.
• I gave a talk on data scalability in robot learning (video here) at the RSS 2020 Workshop on Self-Supervised Robot Learning.
• At L4DC 2020, I gave an invited talk on extrapolation via adaptation (video here).
• I gave a talk on challenges in multi-task learning and meta-learning (slides here, video here) at the IAS Workshop on New Directions in Optimization Statistics and Machine Learning.
• At NeurIPS 2019, I gave an invited talk on Meta-Learning and Memorization (slides here, video here) at the Bayesian Deep Learning Workshop
• At RLDM 2019, I gave an invited talk on Reinforcement Learning for Robots (slides here).
• At CVSS 2019, I gave an invited lecture on Deep Visuomotor Learning (slides here).
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At RSS 2019, I gave invited talks in the workshops on Simulation to Real World Transfer (slides here), the workshop on Task-Informed Grasping (slides here), and the workshop on Women in Robotics (slides here)
At ICLR 2019, I gave invited talks at the Task-Agnostic RL Workshop (slides here, video here), the workshop on Learning from Limited Labeled Data (slides here, video here).
In May 2019, I gave a talk at the GRASP Seminar at University of Pennsylvania (slides here).
At NeurIPS 2018, I gave invited talks at the Continual Learning Workshop (slides here), the workshop on Learning to Model the Physical World (slides here), and the workshop on Spatiotemporal Modeling (slides here).
In September 2018, I gave a 3-minute talk at EmTech (video here)
In July 2018, I gave a talk at Google DeepMind with Sergey Levine on meta-learning frontiers. (slides here)
At ICML 2018, I gave an invited talk in the AutoML workshop (slides here) and contributed talks in the workshop on Goal Specifications for RL (slides here) and the workshop on Theoretical Foundations and Applications of Deep Generative Models (slides here).
I gave a lecture on deep visuomotor learning at ICVSS 2018 (slides here).
At RSS 2018, I gave an invited talk in the Workshop on Learning from Demonstrations for High Level Robotics Tasks (slides here).
At NIPS 2017, I gave an invited talk in the Workshop on Meta-Learning (slides here) and contributed talks at the Deep Reinforcement Learning Symposium and the workshop on Deep Learning: Bridging Theory and Practice.
At ICML 2017, I gave an invited talk in the Reinforcement Learning Workshop (slides here) and a contributed talk in the Lifelong Learning Workshop (slides here).
At RSS 2017, I gave an invited talk at the workshop on New Fronteirs for Deep Learning in Robotics (slides here).
In May 2017, I gave a talk at the Symposium on Robot Learning at UC Berkeley (slides here, video here).
In March 2017, I gave a talk on the guided policy search codebase at the Open Source Software for Decision Making Workshop at Stanford (video here).
In January 2017, I gave a talk at the Rework Deep Learning Summit in SF (video here).
At NIPS 2016, I gave invited talks in the Deep Learning Symposium, Deep RL Workshop, and Neurorobotics Workshop. I will also be giving a contributed talk in the Intuitive Physics Workshop.

This guy makes a nice webpage.