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Partially Observable Reinforcement Learning

Pascal Poupart via YouTube

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Overview

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This lecture introduces partially observable reinforcement learning through Markov decision processes, hidden Markov models, belief monitoring, and recurrent neural network methods including Deep Recurrent Q Networks.

Syllabus

Introduction
Partial Observable Markov Decisions
Reinforcement Learning Recap
Markovian Process
Hidden Markov Model
Speech Recognition
Markov Decision Processes
Belief Monitoring
Recurrent Neural Networks
Longshore Term Memory Networks
Deep Recurrent Q Network

Taught by

Pascal Poupart

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