pyrobolearn/pyrobolearn/tasks

Learning Tasks

This folder contains learning tasks and how they should be run. These include:

• Reinforcement learning tasks: the task accepts as inputs the environment and the policies. This can then be given to a RL algorithm.
• Imitation learning tasks: the task accepts as inputs the environment, the policies, and the bridges to the interface used to interact with a part of the simulator (robot, object in the world, etc).

Other learning paradigms include (but are not implemented yet):

• Active learning
• Curriculum learning
• Inverse reinforcement learning
• Transfer learning

Each task can be evaluated using different metrics.