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researcher

Pedro Tsividis

1 paper here

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fields
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedHuman-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning

22 citations · 22 across the 1 of their papers we have counts for

collaborators

1 paper

cs.AI2021★ 22 cited

Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning

Pedro A. Tsividis, Joao Loula, Jake Burga +5

Reinforcement learning (RL) studies how an agent comes to achieve reward in an environment through interactions over time. Recent advances in machine RL have surpassed human expert…

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