Optimizing the Neural Architecture of Reinforcement Learning Agents

N. Mazyavkina, S. Moustafa, I. Trofimov +1

Reinforcement learning (RL) enjoyed significant progress over the last years. One of the most important steps forward was the wide application of neural networks. However, architec…