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Papers I like


Automated Theoreom Proving


Game theory

Imperfect game play with counterfactual regret minimisation

Continual / Representational Learning

Representation learning is concerned with training machine learning algorithms to learn useful representations, e.g. those that are interpretable, have latent features, or can be used for transfer learning.

Continual Unsupervised Representation Learning

Graph Based Knowledge representation



Distributional semantics


Language Model

Felix Hill - Grounded Language Learning in a Simulated 3D World

“I reject the contention that an important theoretical difference exists between formal and natural languages.” (Montague, 1970)

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