2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), Edmonton 2015

Deep Reinforcement Learning

author: David Silver, Department of Computer Science, University College London
published: July 28, 2015, recorded: June 2015, views: 120100

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Description

In this tutorial I will discuss how reinforcement learning (RL) can be combined with deep learning (DL). There are several ways to combine DL and RL together, including value-based, policy-based, and model-based approaches with planning. Several of these approaches have well-known divergence issues, and I will present simple methods for addressing these instabilities. The talk will include a case study of recent successes in the Atari 2600 domain, where a single agent can learn to play many different games directly from raw pixel input.

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And just like in David's lectures, his laptop periodically shuts off because he forgot to plug it in. Brilliant.

Absolutely amazing talk, in any case.

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