English

Terrain RL Simulator

Artificial Intelligence 2018-04-23 v1 Robotics

Abstract

We provide 8989 challenging simulation environments that range in difficulty. The difficulty of solving a task is linked not only to the number of dimensions in the action space but also to the size and shape of the distribution of configurations the agent experiences. Therefore, we are releasing a number of simulation environments that include randomly generated terrain. The library also provides simple mechanisms to create new environments with different agent morphologies and the option to modify the distribution of generated terrain. We believe using these and other more complex simulations will help push the field closer to creating human-level intelligence.

Cite

@article{arxiv.1804.06424,
  title  = {Terrain RL Simulator},
  author = {Glen Berseth and Xue Bin Peng and Michiel van de Panne},
  journal= {arXiv preprint arXiv:1804.06424},
  year   = {2018}
}

Comments

10 pages

R2 v1 2026-06-23T01:26:52.727Z