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RL Course by David Silver - Lecture 6: Value Function Approximation
2110593 Reinforcement Learning L5 Off-policy 2, value function approximation, intro to deep RL
Reinforcement learning 9 Value function approximation and Stochastic gradient descent
Function Approximation | Reinforcement Learning Part 5
Batch Value-Function Tournament
Introduction to Reinforcement Learning (Lecture 05 - Value Function Approximation) (Part 3)
Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning
Introduction to Reinforcement Learning (Lecture 05 - Value Function Approximation) (Part 1)
Introduction to Reinforcement Learning (Lecture 05 - Value Function Approximation) (Part 4)
2110593 Reinforcement Learning L6 Value function approximation, Off-policy value approximation
Value Function Approximation Introduction
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Last Updated: September 28, 2026
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Nan Jiang (University of Illinois at Urbana-Champaign) simons.berkeley.edu/talks/tbd-242 Reinforcement Learning from ... Sham Kakade (University of Washington & Microsoft Research) ... Reach out to us :) truetheta.io Here, we learn about Speaker: Nan Jiang Affiliation: University of Illinois Urbana-Champaign Abstract: How to identify Q* of a large MDP from a set of ... Introduction to Reinforcement Learning (CSC2547 - Spring 2021), Department of Computer Science, University of Toronto. Hado Van Hasselt, Research Scientist, discusses
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