Integrated architecture for learning, planning, and reacting based on approximating dynamic programming

The entropy reduction engine: integrating planning, scheduling, and control

ACM SIGART Bulletin

An architecture for bounded rationality

ACM SIGART Bulletin

Dyna, an integrated architecture for learning, planning, and reacting

ACM SIGART Bulletin

A framework for integrating perception, action, and trial-and-error learning

ACM SIGART Bulletin

ATM scheduling with queuing delay predictions

SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications

Locally Weighted Learning for Control

Artificial Intelligence Review - Special issue on lazy learning

Learning to Take Actions

Machine Learning

Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty

Machine Learning

Knowledge extraction from reinforcement learning

New learning paradigms in soft computing

Reinforcement learning for fuzzy agents: application to a pighouse environment control

New learning paradigms in soft computing

A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making

Applied Intelligence

Learning of Sensor-Based Arm Motions while Executing High-Level Descriptions of Tasks

Autonomous Robots

An Integrated Approach of Learning, Planning, and Execution

Journal of Intelligent and Robotic Systems

Technical Update: Least-Squares Temporal Difference Learning

Machine Learning

Reinforcement Learning Agents

Artificial Intelligence Review

Dopamine: generalization and bonuses

Neural Networks - Computational models of neuromodulation

Control of exploitation-exploration meta-parameter in reinforcement learning

Neural Networks - Computational models of neuromodulation

Temporal Reasoning for a Collaborative Planning Agent in a Dynamic Environment

Annals of Mathematics and Artificial Intelligence

Exploration Strategies for Model-based Learning in Multi-agent Systems: Exploration Strategies

Autonomous Agents and Multi-Agent Systems

News

IEEE Expert: Intelligent Systems and Their Applications

Integrating Unsupervised Learning, Motivation and Action Selection in an A-life Agent

ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life

Problem Decomposition for Behavioural Cloning

ECML '00 Proceedings of the 11th European Conference on Machine Learning

Propagation of Q-values in Tabular TD(lambda)

ECML '02 Proceedings of the 13th European Conference on Machine Learning

On the Use of Option Policies for Autonomous Robot Navigation

IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence

Modelling Intelligent Behaviour: The Markov Decision Process Approach

IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence

What Is a Learning Classifier System?

Learning Classifier Systems, From Foundations to Applications

A Roadmap to the Last Decade of Learning Classifier System Research

Learning Classifier Systems, From Foundations to Applications

Biasing Exploration in an Anticipatory Learning Classifier System

IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems

Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making

Sequence Learning - Paradigms, Algorithms, and Applications

An evolutionary approach to quantify internal states needed for the woods problem

ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats

A non-computationally-intensive neurocontroller for autonomous mobile robot navigation

Biologically inspired robot behavior engineering

Recent trends in learning classifier systems research

Advances in evolutionary computing

R-max - a general polynomial time algorithm for near-optimal reinforcement learning

The Journal of Machine Learning Research

Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Improving the Learning Rate by Inducing a Transition Model

AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3

Planning, learning and coordination in multiagent decision processes

TARK '96 Proceedings of the 6th conference on Theoretical aspects of rationality and knowledge

Reliability of internal prediction/estimation and its application: I. adaptive action selection reflecting reliability of value function

Neural Networks

Learning and Exploiting Relative Weaknesses of Opponent Agents

Autonomous Agents and Multi-Agent Systems

Spatial Models for Wide-Area Visual Surveillance: Computational Approaches and Spatial Building-Blocks

Artificial Intelligence Review

HAPRC: an automatically configurable planning system

AI Communications

Online Evolution for a Self-Adapting Robotic Navigation System Using Evolvable Hardware

Artificial Life

Learning the structure of Factored Markov Decision Processes in reinforcement learning problems

ICML '06 Proceedings of the 23rd international conference on Machine learning

An intrinsic reward mechanism for efficient exploration

ICML '06 Proceedings of the 23rd international conference on Machine learning

A hierarchical approach to efficient reinforcement learning in deterministic domains

AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems

Representation and timing in theories of the dopamine system

Neural Computation

2005 Special issue: Hippocampal replay contributes to within session learning in a temporal difference reinforcement learning model

Neural Networks - Special issue: Computational theories of the functions of the hippocampus

Modeling of autonomous problem solving process by dynamic construction of task models in multiple tasks environment

Neural Networks - 2006 Special issue: Neurobiology of decision making

A proposal of the learning system using the recordable multi-layer type rule base and its application for the fire panic problem

Proceedings of the 2006 international conference on Game research and development

DEA: An Architecture for Goal Planning and Classification

Neural Computation

Combining online and offline knowledge in UCT

Proceedings of the 24th international conference on Machine learning

Learning classifier systems

Proceedings of the 9th annual conference companion on Genetic and evolutionary computation

Application of SONQL for real-time learning of robot behaviors

Robotics and Autonomous Systems

Guiding exploration by pre-existing knowledge without modifying reward

Neural Networks

Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation

Neural Computation

Affect, Anticipation, and Adaptation: Affect-Controlled Selection of Anticipatory Simulation in Artificial Adaptive Agents

Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems

An analysis of generalization in the xcs classifier system

Evolutionary Computation

Accelerating autonomous learning by using heuristic selection of actions

Journal of Heuristics

Improving generalization for temporal difference learning: The successor representation

Neural Computation

Learning classifier systems

Proceedings of the 10th annual conference companion on Genetic and evolutionary computation

Sample-based learning and search with permanent and transient memories

Proceedings of the 25th international conference on Machine learning

Efficient Exploration in Reinforcement Learning Based on Utile Suffix Memory

Informatica

Genetic learning using adaptive action value tables

EC'08 Proceedings of the 9th WSEAS International Conference on Evolutionary Computing

Incremental Learning of Planning Operators in Stochastic Domains

SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science

Capturing User Interests by Both Exploitation and Exploration

UM '07 Proceedings of the 11th international conference on User Modeling

An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance

ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing

Epoch-Incremental Queue-Dyna Algorithm

ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing

Robustness Analysis of SARSA(λ): Different Models of Reward and Initialisation

AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications

Q-learning based on hierarchical evolutionary mechanism

WSEAS Transactions on Systems and Control

Probabilistic Inference for Fast Learning in Control

Recent Advances in Reinforcement Learning

Architectures for functional imagination

Neurocomputing

Opportunities for multiagent systems and multiagent reinforcement learning in traffic control

Autonomous Agents and Multi-Agent Systems

Basal Ganglia Models for Autonomous Behavior Learning

Creating Brain-Like Intelligence

Reinforcement Learning: A Tutorial Survey and Recent Advances

INFORMS Journal on Computing

Dynamic Abstraction for Hierarchical Problem Solving and Execution in Stochastic Dynamic Environments

Proceedings of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium

Neuroevolutionary reinforcement learning for generalized helicopter control

Proceedings of the 11th Annual conference on Genetic and evolutionary computation

Adaptive modeling and planning for reactive agents

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4

Accelerating reinforcement learning by composing solutions of automatically identified subtasks

Journal of Artificial Intelligence Research

Graph abstraction in real-time heuristic search

Journal of Artificial Intelligence Research

Reinforcement learning: a survey

Journal of Artificial Intelligence Research

Truncating temporal differences: on the efficient implementation of TD (λ) for reinforcement learning

Journal of Artificial Intelligence Research

On heuristic reasoning, reactivity, and search

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1

Input generalization in delayed reinforcement learning: an algorithm and performance comparisons

IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2

R-MAX: a general polynomial time algorithm for near-optimal reinforcement learning

IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2

Utility-based on-line exploration for repeated navigation in an embedded graph

Artificial Intelligence

Learning to act using real-time dynamic programming

Artificial Intelligence

Learning dynamics: system identification for perceptually challenged agents

Artificial Intelligence

Real-time reinforcement learning by sequential Actor-Critics and experience replay

Neural Networks

Modeling adaptive autonomous agents

Artificial Life

Transfer of knowledge for a climbing virtual human: a reinforcement learning approach

ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation

Model-based reinforcement learning: a computational model and an fMRI study

Neurocomputing

2010 Special Issue: Online learning of shaping rewards in reinforcement learning

Neural Networks

Building robots with analogy-based anticipation

KI'06 Proceedings of the 29th annual German conference on Artificial intelligence

Designing efficient exploration with MACS: modules and function approximation

GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII

Cooperative learning using advice exchange

Adaptive agents and multi-agent systems

Improving optimistic exploration in model-free reinforcement learning

ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms

Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning

Autonomous Agents and Multi-Agent Systems

Learning classifier systems

Proceedings of the 12th annual conference companion on Genetic and evolutionary computation

Linear options

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1

PAC-MDP learning with knowledge-based admissible models

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1

A hybrid controller based on the egocentric perceptual principle

Robotics and Autonomous Systems

Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior

Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems

Learning to coordinate behaviors

AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2

Explaining temporal differences to create useful concepts for evaluating states

AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2

A complexity analysis of cooperative mechanisms in reinforcement learning

AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2

Automatic programming of behavior-based robots using reinforcement learning

AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2

Cost-sensitive reinforcement learning for adaptive classification and control

AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2

Programming robots using reinforcement learning and teaching

AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2

Reinforcement learning with perceptual aliasing: the perceptual distinctions approach

AAAI'92 Proceedings of the tenth national conference on Artificial intelligence

Reinforcement learning with a hierarchy of abstract models

AAAI'92 Proceedings of the tenth national conference on Artificial intelligence

Complexity analysis of real-time reinforcement learning

AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence

Efficient goal-directed exploration

AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1

Learning classifier systems

Proceedings of the 13th annual conference companion on Genetic and evolutionary computation

Exploiting Best-Match Equations for Efficient Reinforcement Learning

The Journal of Machine Learning Research

Incremental learning of relational action models in noisy environments

ILP'10 Proceedings of the 20th international conference on Inductive logic programming

Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction

The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2

Efficient planning in R-max

The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3

Obstacle avoidance of redundant manipulators using neural networks based reinforcement learning

Robotics and Computer-Integrated Manufacturing

Model based Bayesian exploration

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence

Probabilistic exploration in planning while learning

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence

Learning by knowledge sharing in autonomous intelligent systems

IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence

A hybrid cognitive/reactive intelligent agent autonomous path planning technique in a networked-distributed unstructured environment for reinforcement learning

The Journal of Supercomputing

Multi-armed bandit algorithms and empirical evaluation

ECML'05 Proceedings of the 16th European conference on Machine Learning

Non-intrusive policy optimization for dependable and adaptive service-oriented systems

Proceedings of the 27th Annual ACM Symposium on Applied Computing

When do differences matter? On-line feature extraction through cognitive economy

Cognitive Systems Research

Fuzzy epoch-incremental reinforcement learning algorithm

ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I

Integrating a partial model into model free reinforcement learning

The Journal of Machine Learning Research

Towards a Multiple-Lookahead-Levels agent reinforcement-learning technique and its implementation in integrated circuits

The Journal of Supercomputing

Active learning of inverse models with intrinsically motivated goal exploration in robots

Robotics and Autonomous Systems

Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: A simulated robotic study

Neural Networks

TEXPLORE: real-time sample-efficient reinforcement learning for robots

Machine Learning

2013 Special Issue: Autonomous reinforcement learning with experience replay

Neural Networks

Mental imagery in the navigation domain: a computational model of sensory-motor simulation mechanisms

Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems

Reinforcement learning in robotics: A survey

International Journal of Robotics Research

Learning epistemic actions in model-free memory-free reinforcement learning: experiments with a neuro-robotic model

Living Machines'13 Proceedings of the Second international conference on Biomimetic and Biohybrid Systems

Online learning of timeout policies for dynamic power management

ACM Transactions on Embedded Computing Systems (TECS)

Scalable and efficient bayes-adaptive reinforcement learning based on monte-carlo tree search

Journal of Artificial Intelligence Research

Multi-timescale nexting in a reinforcement learning robot

Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems