An Empirical Comparison of Neural Architectures for Reinforcement Learning in Partially Observable Environments

Denis Steckelmacher, Peter Vrancx

This paper explores the performance of fitted neural Q iteration for reinforcement learning in several partially observable environments, using three recurrent neural network archi…