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My research goal is to design algorithms that can enable agents to continuously interact, learn, and perform complex tasks in their environments.
I'm a PhD student at UC Berkeley studying decision making using reinforcement learning.
I am broadly interested in machine learning, especially reinforcement learning.
I live in San Francisco.
I'm a big fan of basketball, reading, lifting, immersive theater, games, snowboarding, and music (I play guitar/piano/violin and love listening to ju…
A model learning method for RL that directly optimizes the sum of rewards instead of likelihood, a proxy to the agent's objective.
I am a second year PhD student in Computer Science at Stanford University.
use them.
The central focus of my research involves the development of techniques for facilitating the acquisition of knowledge by neural networks through thei…