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In this work, we propose several online methods to build a \emph{learning curriculum} from a given set of target-task-specific training tasks in order to speed up reinforcement learning (RL).
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Matthew E Taylor, Shimon Whiteson, and Peter Stone · 2007
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Matthew E Taylor, Gregory Kuhlmann, and Peter Stone · 2008
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Transfer learning for reinforcement learning domains: A survey
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Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, and Peter Stone · 2015
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Successor features for transfer in reinforcement learning
André Barreto, Rémi Munos, Tom Schaul, and David Silver · 2016
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Openai gym, 2016
Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba · 2016
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course materials for 6.867 machine learning, fall 2006. mit opencourseware
Tommi Jaakkola · 2016
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The teaching dimension of linear learners
Ji Liu and Xiaojin Zhu · 2016
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Source task creation for curriculum learning
Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, and Peter Stone · 2016
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Paul Pang, Jianbei An, Jing Zhao, Xiaosong Li, Tao Ban, Daisuke Inoue, and Hossein Sarrafzadeh · 2014
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
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Anastasia Pentina, Viktoriia Sharmanska, and Christoph H Lampert · 2015
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keras-rl
Matthias Plappert · 2016
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Teacher-student curriculum learning
Tambet Matiisen, Avital Oliver, Taco Cohen, and John Schulman · 2017
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Autonomous task sequencing for customized curriculum design in reinforcement learning
Sanmit Narvekar, Jivko Sinapov, and Peter Stone · 2017
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Automatic curriculum graph generation for reinforcement learning agents
Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, and Peter Stone · 2017
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