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Interdisciplinary Methods in Computational Creativity: How Human Variables Shape Human-Inspired AI Research
Pinning down the meaning of creativity, and concepts like it, becomes salient when researchers port concepts from human psychology to computation, a widespread practice extending beyond CC into artificial intelligence (AI).
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have
As a second main contribution of this work, we show how these properties may be implemented together in a proof-of-concept reinforcement learning agent: we demonstrate how the properties manifest in the behaviour of this agent in a simple non-episodic grid-world environment that includes curiosity-inducing locations and induced targets of curiosity.
Prototyping three key properties of specific curiosity in computational reinforcement learning
Curiosity for machine agents has been a focus of intense research.
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures
Predictions and predictive knowledge have seen recent success in improving not only robot control but also other applications ranging from industrial process control to rehabilitation.
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study
The question we tackle in this paper is how to sculpt the stream of experience---how to adapt the learning system's behavior---to optimize the learning of a collection of value functions.
