Learning situation-dependent costs: improving planning from probabilistic robot execution
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Tree based discretization for continuous state space reinforcement learning
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Learning from History for Behavior-Based Mobile Robots in Non-Stationary Conditions
Machine Learning - Special issue on learning in autonomous robots
Distributed reinforcement learning for a traffic engineering application
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
A reinforcement learning model of selective visual attention
Proceedings of the fifth international conference on Autonomous agents
Machine Learning
Artificial Intelligence Review
Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems
Learning a Navigation Task in Changing Environments by Multi-task Reinforcement Learning
EWLR-8 Proceedings of the 8th European Workshop on Learning Robots: Advances in Robot Learning
The Lumberjack Algorithm for Learning Linked Decision Forests
SARA '02 Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation
Reinforcement Learning: Past, Present and Future
SEAL'98 Selected papers from the Second Asia-Pacific Conference on Simulated Evolution and Learning on Simulated Evolution and Learning
Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making
Sequence Learning - Paradigms, Algorithms, and Applications
Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning
Sequence Learning - Paradigms, Algorithms, and Applications
Spatiotemporal Abstraction of Stochastic Sequential Processes
Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation
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
Reinforcement learning for POMDPs based on action values and stochastic optimization
Eighteenth national conference on Artificial intelligence
Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
Utile distinction hidden Markov models
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning low dimensional predictive representations
ICML '04 Proceedings of the twenty-first international conference on Machine learning
From Global Selective Perception to Local Selective Perception
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Interactive learning of mappings from visual percepts to actions
ICML '05 Proceedings of the 22nd international conference on Machine learning
Toward Optimal Classifier System Performance in Non-Markov Environments
Evolutionary Computation
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
ICML '06 Proceedings of the 23rd international conference on Machine learning
Looping suffix tree-based inference of partially observable hidden state
ICML '06 Proceedings of the 23rd international conference on Machine learning
Memory analysis and significance test for agent behaviours
Proceedings of the 8th annual conference on Genetic and evolutionary computation
A hybrid generative and predictive model of the motor cortex
Neural Networks
Learning the required number of agents for complex tasks
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Reinforcement Learning with Approximation Spaces
Fundamenta Informaticae
DEA: An Architecture for Goal Planning and Classification
Neural Computation
Reinforcement Learning State Estimator
Neural Computation
A quantitative analysis of memory requirement and generalization performance for robotic tasks
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Discriminative feature selection via multiclass variable memory Markov model
EURASIP Journal on Applied Signal Processing
Shaping multi-agent systems with gradient reinforcement learning
Autonomous Agents and Multi-Agent Systems
A reinforcement learning framework for online data migration in hierarchical storage systems
The Journal of Supercomputing
Simulating sensory perception in 3D game characters
IE '07 Proceedings of the 4th Australasian conference on Interactive entertainment
Non-parametric policy gradients: a unified treatment of propositional and relational domains
Proceedings of the 25th international conference on Machine learning
A Framework for Learning in Humanoid Simulated Robots
RoboCup 2007: Robot Soccer World Cup XI
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
A comparison between ATNoSFERES and Learning Classifier Systems on non-Markov problems
Information Sciences: an International Journal
United We Stand: Population Based Methods for Solving Unknown POMDPs
Recent Advances in Reinforcement Learning
Interactive Learning of Expert Criteria for Rescue Simulations
PRIMA '08 Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
An instance-based state representation for network repair
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Representing systems with hidden state
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Decision tree methods for finding reusable MDP homomorphisms
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Adaptive modeling and planning for reactive agents
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Journal of Artificial Intelligence Research
Closed-loop learning of visual control policies
Journal of Artificial Intelligence Research
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Utile distinctions for relational reinforcement learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Grounding abstractions in predictive state representations
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A layered brain architecture for synthetic creatures
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
State abstraction discovery from irrelevant state variables
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Using predictive representations to improve generalization in reinforcement learning
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Dynamic tuning of online data migration policies in hierarchical storage systems using reinforcement learning
Dynamic adaptation of user migration policies in distributed virtual environments
Dynamic adaptation of user migration policies in distributed virtual environments
Learning sequential visual attention control through dynamic state space discretization
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Goal-directed feature learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
An experimental comparison between ATNoSFERES and ACS
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Online learning of task-driven object-based visual attention control
Image and Vision Computing
Consistency of feature Markov processes
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Task allocation learning in a multiagent environment: Application to the RoboCupRescue simulation
Multiagent and Grid Systems
Structural knowledge transfer by spatial abstraction for reinforcement learning agents
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Multivariate decision tree function approximation for reinforcement learning
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Closing the learning-planning loop with predictive state representations
International Journal of Robotics Research
A Monte-Carlo AIXI approximation
Journal of Artificial Intelligence Research
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes
The Journal of Machine Learning Research
Solving POMDPs by searching the space of finite policies
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning finite-state controllers for partially observable environments
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
The thing that we tried didn't work very well: deictic representation in reinforcement learning
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
An MDP-based recommender system
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Model-based online learning of POMDPs
ECML'05 Proceedings of the 16th European conference on Machine Learning
Active learning in partially observable markov decision processes
ECML'05 Proceedings of the 16th European conference on Machine Learning
Reinforcement learning algorithm with CTRNN in continuous action space
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Learning to make predictions in partially observable environments without a generative model
Journal of Artificial Intelligence Research
Goal-Directed online learning of predictive models
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Feature reinforcement learning in practice
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Reinforcement Learning with Approximation Spaces
Fundamenta Informaticae
The duality of state and observation in probabilistic transition systems
TbiLLC'11 Proceedings of the 9th international conference on Logic, Language, and Computation
Model selection in markovian processes
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Online expectation maximization for reinforcement learning in POMDPs
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
METAL: A framework for mixture-of-experts task and attention learning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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