Relational Reinforcement Learning

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Abstracting Reinforcement Learning Agents with Prior Knowledge

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Relational State-Space Feature Learning and Its Applications in Planning.

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An Optimal Transfer of Knowledge in Reinforcement Learning through Greedy Approach

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Lifted model checking for relational MDPs

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Towards Relational Multi-Agent Reinforcement Learning via Inductive Logic Programming

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Reinforcement Learning in Plan Space .

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Unique State and Automatical Action Abstracting Based on Logical MDPs with Negation

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Knowledge-Based Reward Shaping with Knowledge Revision in Reinforcement Learning

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Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery

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Hierarchical Reinforcement Learning in

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Scaling solutions to markov decision problems

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Task Rescheduling using Relational Reinforcement Learning

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Agents that Reason and Learn

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Relational transfer across reinforcement learning tasks via abstract policies.

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Hierarchical Functional Category Learning for Efficient Value Function Approximation in Object-Based Environments.

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Learning and Planning of Situated Resource Bounded Agents

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Relational Representations and Traces for Efficient Reinforcement Learning

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Conditional Partial Plans for Rational Situated Agents Capable of Deductive Reasoning and Inductive Learning

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Knowledge Representation for Learning How to Evaluate Partial Plans

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Relational reinforcement learning: A logic programming based approach

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A multi-objective Evolutionary Concept Learner

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Learning a Transferable World Model by Reinforcement Agent in Deterministic Observable Grid-World Environments

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Towards a Self-Learning Agent: Using Ranking Functions as a Belief Representation in Reinforcement Learning

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Real-Time Rescheduling of Production Systems Using Relational Reinforcement Learning

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The measurement of strategy convergence for reinforcement learning in discrete state space

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Probability and Computation

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Reinforcement learning based on spatial and temporal association of states

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Approximate dynamic programming with parallel stochastic planning operators

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A S U B S T R AT E F O R A C C O U N TA B L E L AY E R E D S Y S T E M S

Morgan, B. (2013)

Relational Reinforcement Learning with the Algorithm TG

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Optimizing Dialogue Strategy Learning Using Learning Automata

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Généralisation et apprentissage latent dans les systèmes de classeurs

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Adaptive Abstraction for Model-Based Reinforcement Learning

Kochenderfer, M. J. (2006)

Adopting Relational Reinforcement Learning in Covering Algorithms for Numeric and Noisy Environments

ElGibreen, H., & Aksoy, M. S. (2016) · International Journal of Computational Intelligence Systems · doi:10.1080/18756891.2016.1175819

Learning Techniques in Presence of Uncertainty

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Relational learning by observation.

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Learning to predict action outcomes in continuous, relational environments

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Learning-Based Planning

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Leveraging attention focus for effective reinforcement learning in complex domains

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Computational Aspects of Learning, Reasoning, and Deciding

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Structural and network-based methods for knowledge-based systems

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Generating dynamic activity-travel schedules

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Guiding Supervised Learning by Bio-Ontologies in Medical Data Analysis

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Performance Comparison of Two Reinforcement Learning Algorithms f or Small Mobile Robots

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Learning algorithms for small mobile robots: case study on maze exploration.

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Deep Reinforcement Learning with Explicitly Represented Knowledge and Variable State and Action Spaces.Preprint

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Cost-Efficient Hierarchical Knowledge Extraction with Deep Reinforcement LearningPreprint

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Cognitive Inductive Prejudice for Corporal Edifice in Hominids and Contraption

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Reinforcement Learning via Reasoning from DemonstrationPreprint

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Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task RepresentationPreprint

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Automated Task Rescheduling using Relational Markov Decision Processes with Logical State Abstractions

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Pruning strategies for the efficient traversal of the search space in PILP environments

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Front Matter

Sigaud, O., & Buffet, O. (2013) · doi:10.1002/9781118557426.fmatter

Relational Representations and Traces for Efficient Reinforcement Learning

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Cognitive Inductive Prejudice For Corporal Edifice In Hominids And Contraption

Singh, C. B. B. (2020) · International Journal of Computers · doi:10.46300/9108.2020.14.8

A Graph-based State Representation Learning for episodic reinforcement learning in task-oriented dialogue systems

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Relational Reinforcement Learning

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Une contribution au transport optimal sur des espaces incomparables

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Architecture cognitive générique pour la coordination de stratégies d'apprentissage en robotique

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D-rules: learning & planning

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A Generic Architecture for Hybrid Autonomous Decision Systems

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Temporal Difference Learning with Piecewise Linear Basis

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OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration for ARC-AGI-3

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Hierarchical Relational Reinforcement Learning

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Reinforcement Learning and Function Approximation ∗

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Relational Reinforcement Learning for Agents in Worlds with Objects

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Reinforcement Learning in Structured Domains

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A survey of reinforcement learning in relational domains

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