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Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin
Institute for Advanced Study
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RL Course by David Silver - Lecture 6: Value Function Approximation
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Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy | Podcast
Microsoft Research
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On The Hardness of Reinforcement Learning With Value-Function Approximation
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Linear Function Approximation — From Tables to Weights | RL Course EP10
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Trend in AI Theory Seminar: Provably Efficient Reinforcement Learning Algorithms
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Emma Brunskill (Stanford University): "Efficient Reinforcement Learning When Data is Costly"
MIT Institute for Data, Systems, and Society
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RL Chapter 9 Part4 (Construction of features within the linear approximation, neural networks)
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Tutorial: Introduction to Reinforcement Learning with Function Approximation
Microsoft Research
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