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Ademi Adeniji

AI PhD at UC Berkeley

Ademi Adeniji is a Computer Science PhD student at UC Berkeley, advised by Pieter Abbeel.13 Their research focuses on developing generalist agents capable of intelligent decision-making in complex environments, with a particular emphasis on reinforcement learning.14

Ademi's academic background includes:

  • PhD in Computer Science at UC Berkeley (2021 - present)2
  • MS in Computer Science from Stanford University (2020 - 2021)2
  • BS in Computer Science from Stanford University (2017 - 2021)2

Their research interests include:

  • Reinforcement learning
  • Robot learning
  • Behavior foundation models4

Ademi has previously interned at NVIDIA, working on reinforcement learning and robotics research.14 They also conducted research in the Stanford Vision and Learning Lab under the guidance of Fei-Fei Li.1 Ademi is supported by the Berkeley Chancellor's Fellowship.1

Some of Ademi's notable publications include:

  • "Language Reward Modulation for Pretraining Reinforcement Learning"6
  • "Video Prediction Models as Rewards for Reinforcement Learning"6
  • "Skill-Based Reinforcement Learning with Intrinsic Reward Matching"6

Ademi is actively involved in the research community, presenting their work at conferences and seminars. For example, they recently gave a talk titled "Reinforcement Learning Behavioral Generalists - Top-Down and Bottom-Up" at the BeNeRL Reinforcement Learning Seminar.5

Highlights

Oct 8 · list.uva.nl
BeNeRL Reinforcement Learning Seminar: Ademi Adeniji from UC ...
Group - People @EECS
‪Ademi Adeniji‬ - ‪Google Scholar‬
Jan 1 · openreview.net
Ademi Adeniji | OpenReview
Ademi Adeniji
Ademi Adeniji

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Ademi Adeniji
Ademi Adeniji, photo 1
Ademi Adeniji, photo 2
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Location

San Francisco Bay Area