Lecture 24 - Optimization and Learning for Robot Control - Implementing SARSA and Q-Learning

Lecture 26 - Optimization and Learning for Robot Control - Training a neural network with PyTorch

Lecture 1 - Optimization and Learning for Robot Control - Introduction, overview and motivations

Lecture 25 - Optimization and Learning for Robot Control - Value function approximation

Lecture 11 - Optimization and Learning for Robot Control - Model Predictive Control (part 1)

Lecture 23 - Optimization and Learning for Robot Control - Implementing Monte Carlo and TD learning

Lecture 18 - Optimization and Learning for Robot Control - Markov Decision Processes

Lecture 10 - Optimization and Learning for Robot Control - Trajectory Optimization: Direct Methods

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Lecture 7 - Optimization and Learning for Robot Control - Lab session on QP-based control

Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning

The FASTEST introduction to Reinforcement Learning on the internet

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[Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han

Lecture 12 - Optimization and Learning for Robot Control - LAB Trajectory Optimization

Lecture 19 - Optimization and Learning for Robot Control - Dynamic Programming and Monte Carlo

САМАЯ ПРОСТАЯ ML МОДЕЛЬ - РЕШАЮЩЕЕ ДЕРЕВО

Overview of Deep Reinforcement Learning Methods

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