Talks

Invited speakers

Avishkar Bhoopchand	Human-Timescale Adaptation in an Open-Ended Task Space


	Avishkar is currently a Research Engineer at Google DeepMind. He is part of the Deep Learning Indaba team and contributed to the advancement of Machine Learning in Africa.

Joseph Lim	Skill Reuse in Deep Reinforcement Learning


	Joseph is an Associate Professor in the Kim Jaechul School of Artificial Intelligence at KAIST, where he leads the Cognitive Learning for Vision and Robotics lab .

Furong Huang	Adaptable Reinforcement Learning in An Ever-Changing World


	Dr. Furong Huang is an Assistant Professor of the Department of Computer Science at the University of Maryland. Her research focuses on machine learning, high-dimensional statistics, non-convex optimization, spectral methods, reinforcement learning and deep learning theory.

Anna Goldie	RL for Chip Design / LLMs


	Anna is currently a researcher at Anthropic. Previously, she was a Staff Research Scientist at Google Brain and co-founder/lead of the ML for Systems team, where her research focus was on developing deep RL approaches to problems in computer systems, particularly chip design.

Sergey Levine	Leveraging offline datasets / foundation models for real-world RL


	Sergey is an Associate professor in the EECS department at UC Berkeley. In his research, he focuses on algorithms that can enable autonomous agents to acquire complex behaviors through learning, especially general-purpose methods that could enable any autonomous system to learn to solve any task. Applications of such methods include robotics, and a range of other domains that require autonomous decision making.