Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning

Kavli Affiliate: Peter Ford | Summary:Autonomous reinforcement learning agents, like children, do not have access to predefined goals and reward functions. They must discover potential goals, learn their own reward functions and engage in their own learning trajectory. Children, however, benefit from exposure to language, helping to organize and mediate their thought. We propose LE2 […]


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