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Reinforcement learning for embodied agents is a challenging problem.
Reinforcement Learning: An Introduction
R. S. Sutton and A. G. Barto · 1998
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Infinite-horizon policy-gradient estimation
J. Baxter and P. L. Bartlett · 2001
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Predictability, complexity, and learning
W. Bialek, I. Nemenman, and N. Tishby · 2001
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Embodied Artificial Intelligence: International Seminar, Dagstuhl Castle, Germany, July 7-11, 2003. Revised Papers , chapter The Autotelic Principle, pages 231–242
L. Steels · 2004
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Intrinsically motivated reinforcement learning
N. Chentanez, A. G. Barto, and S. P. Singh · 2005
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Empowerment: a universal agent-centric measure of control
A. S. Klyubin, D. Polani, and C. L. Nehaniv · 2005
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Evolving spatiotemporal coordination in a modular robotic system
M. Prokopenko, V. Gerasimov, and I. Tanev · 2006
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Intrinsic motivation systems for autonomous mental development
P. Y. Oudeyer, F. Kaplan, and V. V. Hafner · 2007
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Yars: a physical 3d simulator for evolving controllers for real robots
K. Zahedi, A. von Twickel, and F. Pasemann · 2008
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Curriculum learning
Y. Bengio, J. Louradour, R. Collobert, and J. Weston · 2009
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Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems , chapter Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty […], pages 48–76
J. Schmidhuber · 2009
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A survey on transfer learning
S. J. Pan and Q. Yang · 2010
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Learning and generalization with the information bottleneck
O. Shamir, S. Sabato, and N. Tishby · 2010
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Higher coordination with less control-A result of information maximization in the sensorimotor loop
K. Zahedi, N. Ay, and R. Der · 2010
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A practical guide to training restricted Boltzmann machines
Intrinsically Motivated Learning in Natural and Artificial Systems
G. Baldassarre and M. Mirolli · 2013
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Intrinsically Motivated Learning in Natural and Artificial Systems , chapter Intrinsic Motivation and Reinforcement Learning, pages 17–47
A. G. Barto · 2013
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Learning and exploration in action-perception loops
D. Y.-J. Little and F. T. Sommer · 2013
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K. Zahedi, G. Martius, and N. Ay · 2013
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Curiosity driven reinforcement learning for motion planning on humanoids
M. Frank, J. Leitner, M. Stollenga, A. Förster, and J. Schmidhuber · 2014
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G. E. Hinton · 2012
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Decision Making with Imperfect Decision Makers , chapter Trading Value and Information in MDPs, pages 57–74
J. Rubin, O. Shamir, and N. Tishby · 2012
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An information-theoretic approach to curiosity-driven reinforcement learning
S. Still and D. Precup · 2012
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Changing the environment based on empowerment as intrinsic motivation
C. Salge, C. Glackin, and D. Polani · 2014
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Variational information maximisation for intrinsically motivated reinforcement learning
S. Mohamed and D. Jimenez Rezende · 2015
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Information-theoretic neuro-correlates boost evolution of cognitive systems
J. Schossau, C. Adami, and A. Hintze · 2016
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