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UCL / DeepMind RL Lecture 1: Introduction to Reinforcement Learning

David Silver Google DeepMind

Principal Research Scientist at DeepMind & Professor at UCL

1:28:12·2015·graduate level

Canonical starting point for modern RL taught by the lead architect of AlphaGo and AlphaZero: agent-environment loops, Markov state, policy, value functions, and exploration vs. exploitation.

AI & ML Reinforcement Learning Systems Security Markov State Value Functions

#Reinforcement Learning Course by David Silver# Lecture 1: Introduction to Reinforcement Learning

Next · Lecture 2

UCL / DeepMind RL Lecture 2: Markov Processes, Reward Processes & Bellman Equations

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Part of course10 lectures

COMP0089: Introduction to Reinforcement Learning

Prof. David Silver

Foundational reinforcement learning course taught by AlphaGo lead researcher David Silver: Markov Decision Processes, Bellman optimality, dynamic programming, Monte Carlo, TD learning, and function approximation.

View full syllabus →

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