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:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Ubuntu

Data Formats: Any

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

Archive: download here

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