#AAAI2023 workshops round-up 3: Reinforcement learning ready for production

As part of the 37th AAAI Conference on Artificial Intelligence (AAAI2023), 32 different workshops were held, covering a wide range of different AI topics. In the third and final post in our series of workshop round-ups we hear from the organisers of the workshop on reinforcement learning for real-world applications, who tell us their key takeaways from their event. This workshop focused on understanding reinforcement learning trends and algorithmic developments that bridge the gap between theoretical reinforcement learning and production environments. Over the past few years, researchers have developed various methods for reinforcement learning (RL) to improve decision-making quality. These methods include model-based learning, advanced exploration designs, and techniques for dealing with epistemic and aleatoric uncertainty, among others.