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PhD Topic: General Adaptable Agents. I aim to build adaptable intelligent agents in both physical and virtual worlds. Thus, I work on frameworks that enable generalization over actions, environments, tasks, and rewards. Research Topics: Reinforcement Learning, Imitation Learning, Graph Networks, Multi-task Learning Application Areas: Robotics, Recommender Systems, Minecraft, Tool Use
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