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Relational reinforcement learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3540635149_36openalex-snapshot
Lookahead and discretization in ILP
inferredcites →https://doi.org/10.1007/3540635149_41openalex-snapshot
Using logical decision trees for clustering
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_6openalex-snapshot
LEARNING BY EXPERIMENTATION: ACQUIRING AND REFINING PROBLEM-SOLVING HEURISTICS
inferredcites →https://doi.org/10.1007/bf00114729openalex-snapshot
The effect of representation and knowledge on goal-directed exploration with reinforcement-learning algorithms
inferredcites →https://doi.org/10.1007/bf00117105openalex-snapshot
Learning Logical Definitions from Relations
inferredcites →https://doi.org/10.1007/bf00992699openalex-snapshot
Self-improving reactive agents based on reinforcement learning, planning and teaching
inferredcites →https://doi.org/10.1016/0004-3702(71)90010-5openalex-snapshot
Strips: A new approach to the application of theorem proving to problem solving
inferredcites →https://doi.org/10.1016/0743-1066(94)90035-3openalex-snapshot
Inductive Logic Programming: Theory and methods
inferredcites →https://doi.org/10.1016/b978-0-08-051055-2.50013-4openalex-snapshot
LEARNING BY EXPERIMENTATION
inferredcites →https://doi.org/10.1016/s0004-3702(98)00034-4openalex-snapshot
Top-down induction of first-order logical decision trees
inferredcites →https://doi.org/10.1016/s0004-3702(99)00052-1openalex-snapshot
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
inferredcites →https://doi.org/10.1023/a:1006549800144openalex-snapshot
Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans
inferredcites →https://doi.org/10.1023/a:1007413323501openalex-snapshot
Decision Tree Induction Based on Efficient Tree Restructuring
inferredcites →https://doi.org/10.1023/a:1009867806624openalex-snapshot
Scaling Up Inductive Logic Programming by Learning from Interpretations
inferredcites →https://doi.org/10.1023/a:1022691120807openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1109/tnn.2004.842673openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1145/203330.203343openalex-snapshot
Temporal difference learning and TD-Gammon
inferredcites →https://doi.org/10.1145/301136.301195openalex-snapshot
Team-partitioned, opaque-transition reinforcement learning
inferredcites →https://doi.org/10.1201/9781315139470openalex-snapshot
Classification And Regression Trees
inferredcites →https://doi.org/10.1613/jair.148openalex-snapshot
Induction of First-Order Decision Lists: Results on Learning the Past Tense of English Verbs
inferredcites →https://doi.org/10.3233/icg-1995-18207openalex-snapshot
Temporal Difference Learning and TD-Gammon
inferredcites →https://doi.org/10.48550/arxiv.cs/0011032openalex-snapshot
Top-down induction of clustering trees
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Relational Reinforcement Learning
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Relational Reinforcement Learning
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Reinforcement Learning as Heuristic for Action-Rule Preferences
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Autonomous transfer for reinforcement learning
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Transfer Learning for Reinforcement Learning Domains: A Survey
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Learning relational models with human interaction for planning in robotics
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Stochastic Planning and Lifted Inference
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