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Pedro CisnerosāVelarde ā most-cited papers & profile Ā· Reinforcement Learning
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Pedro CisnerosāVelarde
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Most-cited papers
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning
2022
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Boxiang Lyu
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Mladen Kolar
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Sanmi Koyejo
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Topics
Exploration
Policy Gradient
Multi-Agent
Game AI