Search Results for author: Ildefons Magrans de Abril

Found 2 papers, 0 papers with code

A unified strategy for implementing curiosity and empowerment driven reinforcement learning

no code implementations18 Jun 2018 Ildefons Magrans de Abril, Ryota Kanai

Curiosity reward informs the agent about the relevance of a recent agent action, whereas empowerment is implemented as the opposite information flow from the agent to the environment that quantifies the agent's potential of controlling its own future.

reinforcement-learning Reinforcement Learning (RL)

Curiosity-driven reinforcement learning with homeostatic regulation

no code implementations23 Jan 2018 Ildefons Magrans de Abril, Ryota Kanai

We propose a curiosity reward based on information theory principles and consistent with the animal instinct to maintain certain critical parameters within a bounded range.

reinforcement-learning Reinforcement Learning (RL)

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