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Abstract

This chapter concludes the book. First I summarize the texplore algorithm presented in this book and the book itself. Next, I summarize the contributions of this book. Then, in Section 8.3, I discuss the limitations and applicability of the texplore algorithm and some aspects of the exploration problem. In the following section, I present some directions for future work, before concluding the book in Section 8.5.

Keywords

Reinforcement Learning Lifelong Learning Exploration Strategy Autonomous Vehicle Random Forest Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Department of Computer Science University of Texas at AustinAustinUSA

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