True Online Temporal-Difference Learning

Learning to predict by the methods of temporal differences

Sutton, R. S. (1988) · 1988

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Learning from Delayed Rewards

Watkins, C. J. C. H. (1989) · 1989

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The convergence of TD( λ \lambda ) for general λ \lambda

Dayan, P. (1992) · 1992

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Neuro-Dynamic Programming

Bertsekas, D. P. and Tsitsiklis, J. N. (1996) · 1996

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Reinforcement learning: A survey

Kaelbling, L. P., Littman, M. L., and Moore, A. P. (1996) · 1996

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On the worst-case analysis of temporal-difference learning algorithms

Schapire, R. E. and Warmuth, M. K. (1996) · 1996

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Reinforcement Learning: An Introduction

Sutton, R. S. and Barto, A. G. (1998) · 1998

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Myoelectric signal processing for control of powered limb prostheses

Parker, P., Englehart, K. B., , and Hudgins, B. (2006) · 2006

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Algorithms for Reinforcement Learning

Szepesvári, C. (2010) · 2010

Cited alongside, same era.

Gradient Temporal-Difference Learning Algorithms

Maei, H. R. (2011) · 2011

Cited alongside, same era.

Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction

Sutton, R. S., Modayil, J., Delp, M., Degris, T., Pilarski, P. M., White, A., and Precup, D. (2011) · 2011

Cited alongside, same era.

The arcade learning environment: An evaluation platform for general agents

Bellemare, M. G., Naddaf, Y., Veness, J., and Bowling, M. (2013) · 2013

Cited alongside, same era.

Adaptive artificial limbs: A real-time approach to prediction and anticipation

Pilarski, P. M., Dawson, M. R., Degris, T., Carey, J. P., Chan, K. M., Hebert, J. S., and Sutton, R. S. (2013) · 2013

Cited alongside, same era.

A comparison of learning algorithms on the arcade learning environment

A new Q( λ \lambda ) with interim forward view and Monte Carlo equivalence

Sutton, R. S., Mahmood, A. R., Precup, D., and van Hasselt, H. (2014) · 2014

Later among the works it cites.

Off-policy TD( λ \lambda ) with a true online equivalence

van Hasselt, H., Mahmood, A. R. and Sutton, R. S. (2014) · 2014

Later among the works it cites.

True online TD( λ \lambda )

van Seijen, H. H. and Sutton, R. S. (2014) · 2014

Later among the works it cites.

Off-policy learning based on weighted importance sampling with linear computational complexity

Mahmood, A. R. and Sutton, R. S. (2015) · 2015

Closest in time.

Human-level control through deep reinforcement learning

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

Closest in time.

Policy evaluation using the Ω \Omega -return