Dane Corneil

Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation

Modern reinforcement learning algorithms reach super-human performance on many board and video games, but they are sample inefficient, i.e. they typically require significantly more playing experience than humans to reach an equal performance level. To improve sample efficiency, an agent may build a…