- A Monte Carlo analysis of the board game Elder Sign
Defeating Cthulu more effectively using probability theory.
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- Measuring overfitting in multi-agent reinforcement learning
While it is possible to use self-play to learn effective policies with little human input, agents can get stuck in local optima and overfit to opponent's policies.
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- Learning to play snake at 1 million FPS
Using advantage actor-critic to learn Snake in under 5 minutes on a massively parallel vectorised environment.
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