[R] Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities

**Paper**: [https://arxiv.org/abs/2312.01939](https://arxiv.org/abs/2312.01939)

**Abstract**:

>Contemporary artificial intelligence systems exhibit rapidly growing abilities accompanied by the growth of required resources, expansive datasets and corresponding investments into computing infrastructure. Although earlier successes predominantly focus on constrained settings, recent strides in fundamental research and applications aspire to create increasingly general systems. This evolving landscape presents a dual panorama of opportunities and challenges in refining the generalisation and transfer of knowledge - the extraction from existing sources and adaptation as a comprehensive foundation for tackling …

abstract applications artificial artificial intelligence challenges computing computing infrastructure datasets focus general growth infrastructure intelligence investments landscape machinelearning opportunities panorama research resources systems