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1509.08731
Cited By
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
29 September 2015
S. Mohamed
Danilo Jimenez Rezende
DRL
SSL
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Papers citing
"Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning"
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Conservative Agency via Attainable Utility Preservation
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Volker Tresp
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Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization
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Provably Efficient Maximum Entropy Exploration
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Marc G. Bellemare
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Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning
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The Barbados 2018 List of Open Issues in Continual Learning
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Large-Scale Study of Curiosity-Driven Learning
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A unified strategy for implementing curiosity and empowerment driven reinforcement learning
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Laurent Dinh
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Sergio Gomez Colmenarejo
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17 Apr 2018
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world
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Yutaka Nakamura
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Variational Intrinsic Control
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