iterated-learning

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TGDivy / Language-Evolution
We use reinforcement learning to study how language can be used as a tool for agents to accomplish tasks in their environment, and show that structure in the evolved language emerges naturally through iterated learning, leading to the development of compositional language for describing and generalising about unseen objects.
iterated-learning language-evolution multiagent-reinforcement-learning natural-language-generation pomdp ppo reinforcement-learning student-teacher-learning wordembeddings
Language:Python 4
bacor / thesis
Experiments and figures for MSc thesis, 'Bayesian Language Games'
naming-game iterated-learning language-evolution bayesian-agents msc-thesis
Language:Jupyter Notebook 2

TGDivy / Language-Evolution