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[R] Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Paper: https://arxiv.org/abs/2201.03916. First survey on the recently developing field of AutoRL.
Abstract: The combination of Reinforcement Learning (RL) with deep learning has led to a series of impressive feats, with many believing (deep) RL provides a path towards generally capable agents. However, the success of RL agents is often highly sensitive to design choices in the training process, which may require tedious and error-prone manual tuning. This makes it challenging to use RL for new problems, while also limits its full potential. In many other areas of machine learning, …!-->