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Transfer of learning by composing solutions of elemental sequential tasks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Learning to Predict by the Methods of Temporal Differences
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Macro-operators: A weak method for learning
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Automatic programming of behavior-based robots using reinforcement learning
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On the Computational Economics of Reinforcement Learning
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Active Perception and Reinforcement Learning
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Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming
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Neuronlike adaptive elements that can solve difficult learning control problems
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A Robot that Walks; Emergent Behaviors from a Carefully Evolved Network
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Adaptive Mixtures of Local Experts
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Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks
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The Behavior of Organisms: An Experimental Analysis
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Advances in Neural Information Processing Systems 37
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Learning in Embedded Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Physical Scaffolding Accelerates the Evolution of Robot Behavior
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Incremental acquisition of behaviors and signs based on a reinforcement learning schemata model and a spike timing-dependent plasticity network
inferred← citeshttps://doi.org/10.1163/156855308x344882openalex-snapshot
Efficient Behavior Learning Based on State Value Estimation of Self and Others
inferred← citeshttps://doi.org/10.1177/105971230601400102openalex-snapshot
Sequence-Learning Algorithm Based on Backward Chaining
inferred← citeshttps://doi.org/10.1177/105971239300100303openalex-snapshot
A Hierarchical Network of Provably Optimal Learning Control Systems: Extensions of the Associative Control Process (ACP) Network
inferred← citeshttps://doi.org/10.1177/105971239400200302openalex-snapshot
Training Agents to Perform Sequential Behavior
inferred← citeshttps://doi.org/10.1177/105971239700500302openalex-snapshot
Operant Conditioning in Skinnerbots
inferred← citeshttps://doi.org/10.1177/105971239700500304openalex-snapshot
Anytime Learning and Adaptation of Structured Fuzzy Behaviors
inferred← citeshttps://doi.org/10.1177/105971239700500305openalex-snapshot
Incremental Evolution of Complex General Behavior
inferred← citeshttps://doi.org/10.1177/105971239700500307openalex-snapshot
Measuring the Effectiveness of Reinforcement Learning for Behavior-Based Robots
inferred← citeshttps://doi.org/10.1186/s40537-017-0097-0openalex-snapshot
Learning topic description from clustering of trusted user roles and event models characterizing distributed provenance networks: a reinforcement learning approach
inferred← citeshttps://doi.org/10.15167/ravanbakhsh-sayyed-mahdyar_phd2019-02-25openalex-snapshot
Generative Models for Novelty Detection Applications in abnormal event and situational changedetection from data series
inferred← citeshttps://doi.org/10.1541/ieejeiss.123.1004openalex-snapshot
Multitask Reinforcement Learning on the Distribution of MDPs
inferred← citeshttps://doi.org/10.1587/transinf.e95.d.2426openalex-snapshot
Multi-Task Approach to Reinforcement Learning for Factored-State Markov Decision Problems
inferred← citeshttps://doi.org/10.1609/aaai.v29i1.9540openalex-snapshot
UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.330110009openalex-snapshot
Learning Representations in Model-Free Hierarchical Reinforcement Learning
inferred← citeshttps://doi.org/10.1609/aaai.v35i10.17125openalex-snapshot
Maximum Roaming Multi-Task Learning
inferred← citeshttps://doi.org/10.1609/aaai.v35i12.17279openalex-snapshot
Sequential Generative Exploration Model for Partially Observable Reinforcement Learning
inferred← citeshttps://doi.org/10.1609/aaai.v38i11.29129openalex-snapshot
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
inferred← citeshttps://doi.org/10.1613/jair.1.12440openalex-snapshot
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
inferred← citeshttps://doi.org/10.1613/jair.1.13673openalex-snapshot
Towards Continual Reinforcement Learning: A Review and Perspectives
inferred← citeshttps://doi.org/10.1613/jair.639openalex-snapshot
Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
inferred← citeshttps://doi.org/10.17341/gazimmfd.999527openalex-snapshot
Derin öğrenme kullanılarak nesnelerin interneti tabanlı mobil sürücü yorgunluk tespiti
inferred← citeshttps://doi.org/10.18653/v1/2022.mathnlp-1openalex-snapshot
Proceedings of the 1st Workshop on Mathematical Natural Language Processing (MathNLP)
inferred← citeshttps://doi.org/10.18653/v1/2022.mathnlp-1.3openalex-snapshot
Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models
inferred← citeshttps://doi.org/10.18653/v1/n19-1115openalex-snapshot
Cooperative Learning of Disjoint Syntax and Semantics
inferred← citeshttps://doi.org/10.21236/ada445728openalex-snapshot
Hierarchical Average Reward Reinforcement Learning
inferred← citeshttps://doi.org/10.2514/6.2018-2134openalex-snapshot
Flexible Heuristic Dynamic Programming for Reinforcement Learning in Quad-Rotors
inferred← citeshttps://doi.org/10.3156/jfuzzy.9.4_447openalex-snapshot
Reinforcement Learning Systems under Discrete Markov Decision Processes
inferred← citeshttps://doi.org/10.3156/jsoft.21.640openalex-snapshot
Mutual Development of Behavior Acquisition and Recognition based on Value System
inferred← citeshttps://doi.org/10.3166/ria.20.275-310openalex-snapshot
Apprentissage par renforcement dans le cadre des processus décisionnels de Markov factorisés observables dans le désordre. Etude expérimentale du Q-Learning parallèle appliqué aux problèmes du labyrinthe et du New York Driving
inferred← citeshttps://doi.org/10.3182/20110828-6-it-1002.00598openalex-snapshot
Efficient Knowledge Transfer in Shaping Reinforcement Learning
inferred← citeshttps://doi.org/10.3389/fnbot.2018.00061openalex-snapshot
Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning Modules
inferred← citeshttps://doi.org/10.3389/fpsyg.2020.02149openalex-snapshot
Cognitive Modeling of Automation Adaptation in a Time Critical Task
inferred← citeshttps://doi.org/10.3389/frobt.2021.584075openalex-snapshot
Reinforcement Learning With Human Advice: A Survey
inferred← citeshttps://doi.org/10.3390/electronics13214311openalex-snapshot
An Automated Penetration Testing Framework Based on Hierarchical Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/make4010009openalex-snapshot
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
inferred← citeshttps://doi.org/10.3745/kipstb.2003.10b.3.249openalex-snapshot
Multagent Control Strategy Using Reinforcement Learning
inferred← citeshttps://doi.org/10.4018/978-1-60960-551-3.ch011openalex-snapshot
Motivated Learning for Computational Intelligence
inferred← citeshttps://doi.org/10.4018/978-1-60960-818-7.ch202openalex-snapshot
Motivated Learning for Computational Intelligence
inferred← citeshttps://doi.org/10.48550/arxiv.1301.7405openalex-snapshot
Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
inferred← citeshttps://doi.org/10.48550/arxiv.1706.05064openalex-snapshot
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
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