A Perspective On Objects And Systematic Generalization In Modelbased Rl
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**arXiv ID:** 1906.01035 **Authors:** Sjoerd van Steenkiste, Klaus Greff, Jürgen Schmidhuber **Published:** 2019-06-03T19:29:12Z **Abstract:** In order to meet the diverse challenges in solving many real-world problems, an intelligent agent has to be able to dynamically construct a model of its environment. Objects facilitate the modular reuse of prior knowledge and the combinatorial construction of such models. In this work, we argue that dynamically bound features (objects) do not simply em...
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# A Perspective on Objects and Systematic Generalization in Model-Based RL
**arXiv ID:** 1906.01035
**Authors:** Sjoerd van Steenkiste, Klaus Greff, Jürgen Schmidhuber
**Published:** 2019-06-03T19:29:12Z
**Abstract:**
In order to meet the diverse challenges in solving many real-world problems, an intelligent agent has to be able to dynamically construct a model of its environment. Objects facilitate the modular reuse of prior knowledge and the combinatorial construction of such models. In this work, we argue that dynamically bound features (objects) do not simply emerge in connectionist models of the world. We identify several requirements that need to be fulfilled in overcoming this limitation and highlight corresponding inductive biases.
## Skill Description
This skill is generated from the arXiv paper: A Perspective on Objects and Systematic Generalization in Model-Based RL (1906.01035).
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## References
- [arXiv:1906.01035](http://arxiv.org/abs/1906.01035v1)
