基本信息
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个人简介
The goal of my research is to discover the computational principles of human thinking by building intelligent machines that learn through interaction with complex simulated worlds. Within deep reinforcement learning, my work focuses on:
Unsupervised world models learned from raw video data for artificial intelligence to develop a general understanding of the world and plan by imagining future outcomes of actions. The main challenges here are representation learning and temporal abstraction.
Unsupervised agent objectives to autonomously explore and influence the environment, moving artificial intelligence beyond narrow task-specified behaviors. This includes artificial curiosity, information gain, empowerment, skill discovery, and active inference.
研究兴趣
论文共 45 篇作者统计合作学者相似作者
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arxiv(2023)
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Alejandro Escontrela, Ademi Adeniji,Wilson Yan,Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee,Danijar Hafner,Pieter Abbeel
arxiv(2023)
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arxiv(2022)
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arxiv(2022)
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ICLR 2023 (2022)
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user-607cde9d4c775e0497f57189(2021)
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D-Core
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