The dm_control software package is a collection of Python libraries and task suites for reinforcement learning agents in an articulated-body simulation. A MuJoCo wrapper provides convenient bindings to functions and data structures. The PyMJCF and Composer libraries enable procedural model manipulation and task authoring. The Control Suite is a fixed set of tasks with standardised structure, intended to serve as performance benchmarks. The Locomotion framework provides high-level abstractions and examples of locomotion tasks. A set of configurable manipulation tasks with a robot arm and snap-together bricks is also included. dm_control is publicly available at https://www.github.com/deepmind/dm_control
@article{arxiv.2006.12983,
title = {dm_control: Software and Tasks for Continuous Control},
author = {Yuval Tassa and Saran Tunyasuvunakool and Alistair Muldal and Yotam Doron and Piotr Trochim and Siqi Liu and Steven Bohez and Josh Merel and Tom Erez and Timothy Lillicrap and Nicolas Heess},
journal= {arXiv preprint arXiv:2006.12983},
year = {2020}
}
Comments
arXiv admin note: text overlap with arXiv:1801.00690