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12
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A Causal Approach to Hierarchical Decomposition in Reinforcement Learning
– Anders Jonsson
- 2006
|
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2
|
Automatic Induction of MAXQ Hierarchies
– Neville Mehta, Mike Wynkoop, Soumya Ray, Prasad Tadepalli, Tom Dietterich
|
|
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Autonomous Qualitative Learning of Distinctions and Actions in a Developing Agent
– Jonathan Mugan
|
|
|
Programming and Reinforcement Learning, 105–111. IEEE. Grounding Subgoals in Information Transitions
– unknown authors
|
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18
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Causal Graph Based Decomposition of Factored MDPs
– Anders Jonsson , Andrew Barto
- 2006
|
|
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Structured Exploration for Reinforcement Learning
– Nicholas Kenneth Jong
- 2010
|
|
|
and Search General Terms
– Gheorghe Comanici, Doina Precup
|
|
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Behavioral Building Blocks FOR AUTONOMOUS AGENTS: . . .
– Özgür Simsek
- 2008
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32
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Identifying useful subgoals in reinforcement learning by local graph partitioning
– Alicia P. Wolfe, Andrew G. Barto
- 2005
|
|
32
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Building portable options: Skill transfer in reinforcement learning
– George Konidaris, Andrew Barto
- 2007
|
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4
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Automated Discovery of Options in Reinforcement Learning
– Martin Stolle
- 2004
|
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3
|
Hierarchical Reinforcement Learning: A Hybrid Approach
– Malcolm Ross Kinsella Ryan
- 2002
|
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28
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An Algebraic Approach to Abstraction in Reinforcement Learning
– Balaraman Ravindran, Andrew Barto
- 2003
|
|
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Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
– Scott Niekum, Andrew G. Barto
|
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3
|
Discovering Options from Example Trajectories
– Peng Zang, Peng Zhou, David Minnen, Charles Isbell
|
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1
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Hierarchical Reinforcement Learning Using Graphical Models
– Victoria Manfredi, Sridhar Mahadevan
|
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11
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Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
– George Konidaris, Andrew G. Barto
|
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19
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An intrinsic reward mechanism for efficient exploration
– Andrew G. Barto
- 2006
|
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Automatic construction of temporally extended actions for MDPs
– Pablo Samuel Castro, Doina Precup
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