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Brian Delhaisse
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# PyRoboLearn
On the quest for building autonomous robots, several robot learning frameworks with different functionalities have
->On the quest for building autonomous robots, several robot learning frameworks with different functionalities have
recently been developed. Yet, frameworks that combine diverse learning paradigms (such as imitation and reinforcement learning)
into a common place are scarce. Existing ones tend to be robot-specific, and often require time-consuming work to be used with
other robots.
@@ -11,4 +11,4 @@ paradigms into a single framework. Our framework provides a plethora of robotic
*PyRoboLearn* is developed with a particular focus on modularity, flexibility, generality, and simplicity to favor (re)usability.
This is achieved by abstracting each key concept, undertaking a modular programming approach, minimizing the coupling among the
different modules, and favoring composition over inheritance for better flexibility. We demonstrate the different features and
utility of our framework through different use cases.
utility of our framework through different use cases.<-