F. Hohman, M. Kahng, R. Pienta, and D. H. Chau, Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers

N. Justesen, P. Bontrager, J. Togelius, and S. Risi, Deep Learning for Video Game Playing

A. Karpathy, J. Johnson, and L. Fei-fei, Visualizing And Understanding Recurrent Networks, p.11, 2016.

M. Kempka, M. Wydmuch, G. Runc, J. Toczek, and W. Ja?kowski, ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning, vol.5, 2016.

V. Mnih, K. Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou et al., Playing Atari with Deep Reinforcement Learning, vol.12, p.2013

M. Savva, A. Kadian, O. Maksymets, Y. Zhao, E. Wijmans et al., Habitat: A Platform for Embodied AI Research, vol.4, 2019.

H. Strobelt, S. Gehrmann, H. Pfister, and A. M. Rush, LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks, vol.6, 2016.

R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction Second edition, in progress

J. Wang, L. Gou, H. Shen, and H. Yang, DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks