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Here we introduce dynamic programming, which is a cornerstone of Lecture 6 of a 6-lecture series on the Foundations of Deep RL Topic: For the next set of slides now we're going to talk about Instructor: Chelsea Finn (UC Berkeley) Lecture 9 Deep RL Bootcamp Berkeley 2017 Summary of our IROS 2025 Publication: www.arxiv.org/abs/2503.02552.

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Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming Profile
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DeepRL1.6 Model based versus Model free Reinforcement Learning Source
CS885 Lecture 9: Model-based RL
Deep RL Bootcamp Lecture 9 Model-based Reinforcement Learning
RL Course by David Silver - Lecture 5: Model Free Control
Reinforcement Learning Series: Overview of Methods
RL Course by David Silver - Lecture 4: Model-Free Prediction
RLSS 2023 - Model-based Reinforcement Learning - Andreas Krause (presented by Felix Berkenkamp)
World Models for Anomaly Detection during Model-Based Reinforcement Learning Inference
Reinforcement Learning Explained: Model-Free vs Model-Based RL | DQN, PPO, AlphaZero

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Last Updated: June 13, 2026

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L6 Model-based RL (Foundations of Deep RL Series) Net Worth
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