Applying a reinforcement learning framework in a testing environment

The Reinforcement Learning (RL) research group at the TU Dresden (https://rl-dresden.de/) has developed a Deep Reinforcement Learning (DRL) framework for self-driving model cars. The DRL framework will be applied to a test environment in the Living Lab of ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence). The task is to identify simulation-to-reality gaps in the transfer of the simulation model to reality and propose and proceed ways to close them. In addition, the DRL framework will be examined for strengths and weaknesses and, if necessary, concepts for overcoming the weaknesses will be suggested.

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