Search Results for author: Jarryd Martin

Found 2 papers, 1 papers with code

Count-Based Exploration in Feature Space for Reinforcement Learning

1 code implementation25 Jun 2017 Jarryd Martin, Suraj Narayanan Sasikumar, Tom Everitt, Marcus Hutter

We present a new method for computing a generalised state visit-count, which allows the agent to estimate the uncertainty associated with any state.

Atari Games Efficient Exploration +1

Death and Suicide in Universal Artificial Intelligence

no code implementations2 Jun 2016 Jarryd Martin, Tom Everitt, Marcus Hutter

Reinforcement learning (RL) is a general paradigm for studying intelligent behaviour, with applications ranging from artificial intelligence to psychology and economics.


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