Description:

BOLeRo (Behavior Learning and Optimization for Robots) provides tools to learn behaviors for robots. It includes behavior representations as well as reinforcement learning, black-box optimization, evolutionary algorithms, and imitation learning. It provides a C++ and a Python interface to be efficient where this is required and to be flexible and convenient where performance is not an issue. Because the library provides a C++ interface, it is easy to integrate in most robotic frameworks, e.g. the robot operating system (ROS) or the robot construction kit (Rock).

Changes to previous version:

https://github.com/rock-learning/bolero/releases/tag/v1.0.0

BibTeX Entry: Download

Supported Operating Systems: Ubuntu

Data Formats: Any

Tags: Reinforcement Learning, Robotics, Policy Search, Evolutionary Algorithms

Archive: download here

Other available revisons

Version	Changelog	Date
1.0.0	https://github.com/rock-learning/bolero/releases/tag/v1.0.0	February 11, 2018, 19:44:41
0.2.0	https://github.com/rock-learning/bolero/releases/tag/v0.2.0	January 23, 2018, 18:18:18
0.1.0	Initial Announcement on mloss.org.	December 19, 2017, 18:40:59

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