Monthly Archives: June 2009

Reinforcement learning in the brain

Model-free reinforcement learning (RL) algorithms are computationally cheap as each state-action pair keeps a cached estimate of its value that can easily be looked up in order to make a decision. Their weakness is that they are not easy to … Continue reading

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The unreasonable effectiveness of data

We recently had a visitor to the Gatsby Unit talk about his work in reinforcement learning, in particular the use of planning and forward models to speed up the learning of difficult tasks.  The substance of his talk was good, … Continue reading

Posted in Research Review | Tagged , , | 5 Comments

Prospect theory investors

I recently completed a finance paper on the implications of prospect theory for portfolio choice and asset pricing. I worked on this with Prof. Enrico De Giorgi during my post doc at the Swiss Finance Institute. This post is meant … Continue reading

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Most surprising thing since 1999?

I just read this article on the scale of time by Mike Treder. Part the way through it has an interesting question: What would surprise a person from the year 2000 most about the year 2010? As I don’t know … Continue reading

Posted in Uncategorized | Tagged , | 6 Comments