Advantages and Limitations of using Successor Features for Transfer in Reinforcement Learning

Improving generalization for temporal difference learning: The successor representation

Dayan, Peter · 1993

Earlier work this paper cites.

Reinforcement learning: A survey

Kaelbling, Leslie Pack, Littman, Michael L, and Moore, Andrew W · 1996

Earlier work this paper cites.

Generalization in reinforcement learning: Successful examples using sparse coarse coding

Sutton, Richard S · 1996

Earlier work this paper cites.

Reinforcement Learning: An Introduction

Sutton, Richard S. and Barto, Andrew G · 1998

Earlier work this paper cites.

Learning near-optimal policies with bellman-residual minimization based fitted policy iteration and a single sample path

Antos, András, Szepesvári, Csaba, and Munos, Rémi · 2006

Cited alongside, same era.

Transfer learning for reinforcement learning domains: A survey

Taylor, Matthew E. and Stone, Peter · 2009

Cited alongside, same era.

Value function approximation in reinforcement learning using the fourier basis

Konidaris, George, Osentoski, Sarah, and Thomas, Philip · 2011

Cited alongside, same era.

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

Abadi, Martín, Agarwal, Ashish, Barham, Paul, Brevdo, Eugene, Chen, Zhifeng, Citro, Craig, Corrado, Greg S., Davis, Andy, Dean, Jeffrey, Devin, Matthieu, Ghemawat, Sanjay, Goodfellow, Ian, Harp, Andrew, Irving, Geoffrey, Isard, Michael, Jia, Yangqing, Jozefowicz, Rafal, Kaiser, Lukasz, Kudlur, Manjunath, Levenberg, Josh, Mané, Dan, Monga, Rajat, Moore, Sherry, Murray, Derek, Olah, Chris, Schuster, Mike, Shlens, Jonathon, Steiner, Benoit, Sutskever, Ilya, Talwar, Kunal, Tucker, Paul, Vanhoucke, Vincent, Vasudevan, Vijay, Viégas, Fernanda, Vinyals, Oriol, Warden, Pete, Wattenberg, Martin, Wicke, Martin, Yu, Yuan, and Zheng, Xiaoqiang · 2015

Cited alongside, same era.

Human-level control through deep reinforcement learning

Mnih, Volodymyr, Kavukcuoglu, Koray, Silver, David, Rusu, Andrei A, Veness, Joel, Bellemare, Marc G, Graves, Alex, Riedmiller, Martin, Fidjeland, Andreas K, Ostrovski, Georg, et al · 2015

Later among the works it cites.

Successor features for transfer in reinforcement learning

Original

Barreto, André, Munos, Rémi, Schaul, Tom, and Silver, David · 2016

Later among the works it cites.

Deep reinforcement learning with successor features for navigation across similar environments

Original

Zhang, Jingwei, Springenberg, Jost Tobias, Boedecker, Joschka, and Burgard, Wolfram · 2016

Later among the works it cites.