A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Efficient Exploration via First-Person Behavior Cloning Assisted Rapidly-Exploring Random Trees
[article]
2022
arXiv
pre-print
Modern day computer games have extremely large state and action spaces. To detect bugs in these games' models, human testers play the games repeatedly to explore the game and find errors in the games. Such gameplay is exhaustive and time consuming. Moreover, since robotics simulators depend on similar methods of model specification and debugging, the problem of finding errors in the model is of interest to the robotics community to ensure robot behaviors and interactions are consistent in
arXiv:2203.12774v2
fatcat:dzhvvj62rraq3ksdyoac5y4vti