Machine Learning - Special issue on inductive transfer
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
Biologically inspired robot behavior engineering
Co-evolving recurrent neurons learn deep memory POMDPs
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Toward Optimal Classifier System Performance in Non-Markov Environments
Evolutionary Computation
Zcs: A zeroth level classifier system
Evolutionary Computation
Probabilistic incremental program evolution
Evolutionary Computation
A Cultural Algorithm for POMDPs from Stochastic Inventory Control
HM '08 Proceedings of the 5th International Workshop on Hybrid Metaheuristics
Stochastic local search for POMDP controllers
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Value-function approximations for partially observable Markov decision processes
Journal of Artificial Intelligence Research
Nonapproximability results for partially observable Markov decision processes
Journal of Artificial Intelligence Research
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Inference and Learning in Planning (Extended Abstract)
DS '09 Proceedings of the 12th International Conference on Discovery Science
IEEE Transactions on Wireless Communications
Rechargeable sensor activation under temporally correlated events
Wireless Networks
A Modified Memory-Based Reinforcement Learning Method for Solving POMDP Problems
Neural Processing Letters
Planning with incomplete information
MoChArt'10 Proceedings of the 6th international conference on Model checking and artificial intelligence
Reinforcement learning through global stochastic search in N-MDPs
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Emotion-based intrinsic motivation for reinforcement learning agents
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
My brain is full: when more memory helps
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
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
Learning to cooperate via policy search
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Survey A survey of computational complexity results in systems and control
Automatica (Journal of IFAC)
Learning to use episodic memory
Cognitive Systems Research
On the Computational Complexity of Stochastic Controller Optimization in POMDPs
ACM Transactions on Computation Theory (TOCT)
Adding memory condition to learning classifier systems to solve partially observable environments
International Journal of Computer Applications in Technology
Speeding-up reinforcement learning through abstraction and transfer learning
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
A logic of probabilistic knowledge and strategy
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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