Beating Atari with Natural Language Guided Reinforcement Learning

Playing atari with deep reinforcement learning

Original

V. Mnih, K. Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, and M. A. Riedmiller · 2013

Earlier work this paper cites.

TensorFlow: Large-scale machine learning on heterogeneous systems, 2015

M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng · 2015

Earlier work this paper cites.

Human-level control through deep reinforcement learning

V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, G. Ostrovski, S. Petersen, C. Beattie, A. Sadik, I. Antonoglou, H. King, D. Kumaran, D. Wierstra, S. Legg, and D. Hassabis · 2015

Earlier work this paper cites.

Show, attend and tell: Neural image caption generation with visual attention

Original

K. Xu, J. Ba, R. Kiros, K. Cho, A. C. Courville, R. Salakhutdinov, R. S. Zemel, and Y. Bengio · 2015

Earlier work this paper cites.

Unifying count-based exploration and intrinsic motivation

M. G. Bellemare, S. Srinivasan, G. Ostrovski, T. Schaul, D. Saxton, and R. Munos · 2016

Earlier work this paper cites.

Unifying count-based exploration and intrinsic motivation

Original

M. G. Bellemare, S. Srinivasan, G. Ostrovski, T. Schaul, D. Saxton, and R. Munos · 2016

Cited alongside, same era.

Openai gym, 2016

G. Brockman, V. Cheung, L. Pettersson, J. Schneider, J. Schulman, J. Tang, and W. Zaremba · 2016

Cited alongside, same era.

Reinforcement learning with unsupervised auxiliary tasks

Original

M. Jaderberg, V. Mnih, W. M. Czarnecki, T. Schaul, J. Z. Leibo, D. Silver, and K. Kavukcuoglu · 2016

Cited alongside, same era.

Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation

Original

T. D. Kulkarni, K. Narasimhan, A. Saeedi, and J. B. Tenenbaum · 2016

Cited alongside, same era.

Deep reinforcement learning for dialogue generation

Original

Asynchronous methods for deep reinforcement learning

Original

V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. P. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu · 2016

Later among the works it cites.

Dqn tensorflow

DevSisters · 2017

Closest in time.

Neural episodic control

A. Pritzel, B. Uria, S. Srinivasan, A. Puigdomènech, O. Vinyals, D. Hassabis, D. Wierstra, and C. Blundell · 2017

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Feudal networks for hierarchical reinforcement learning

A. S. Vezhnevets, S. Osindero, T. Schaul, N. Heess, M. Jaderberg, D. Silver, and K. Kavukcuoglu · 2017

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Tensorpack

Y. Wu · 2017

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