Bounded-parameter Markov decision process

Model Minimization in Hierarchical Reinforcement Learning

Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation

Solving Factored MDPs with Large Action Space Using Algebraic Decision Diagrams

PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence

Solving factored MDPs using non-homogeneous partitions

Artificial Intelligence - special issue on planning with uncertainty and incomplete information

ε-mdps: learning in varying environments

The Journal of Machine Learning Research

The optimal robust control policy for uncertain semi-Markov control processes

International Journal of Systems Science

Qualitative reinforcement learning

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

Partially observable Markov decision processes with imprecise parameters

Artificial Intelligence

Percentile optimization in uncertain Markov decision processes with application to efficient exploration

Proceedings of the 24th international conference on Machine learning

Reachability analysis of uncertain systems using bounded-parameter Markov decision processes

Artificial Intelligence

Active reinforcement learning

Proceedings of the 25th international conference on Machine learning

An analysis of model-based Interval Estimation for Markov Decision Processes

Journal of Computer and System Sciences

Reinforcement Learning: A Tutorial Survey and Recent Advances

INFORMS Journal on Computing

Decision tree methods for finding reusable MDP homomorphisms

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

Autonomous subgoal discovery and hierarchical abstraction for reinforcement learning using Monte Carlo method

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

Exploiting symmetries in POMDPs for point-based algorithms

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2

Planning under risk and Knightian uncertainty

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

SMDP homomorphisms: an algebraic approach to abstraction in semi-Markov decision processes

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence

Solving factored MDPs via non-homogeneous partitioning

IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1

Robust planning with (L)RTDP

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

Graphical models for imprecise probabilities

International Journal of Approximate Reasoning

Dynamic programming for deterministic discrete-time systems with uncertain gain

International Journal of Approximate Reasoning

Percentile Optimization for Markov Decision Processes with Parameter Uncertainty

Operations Research

Bounded parameter Markov decision processes with average reward criterion

COLT'07 Proceedings of the 20th annual conference on Learning theory

Using control theory for analysis of reinforcement learning and optimal policy properties in grid-world problems

ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications

Approximate robust policy iteration using multilayer perceptron neural networks for discounted infinite-horizon Markov decision processes with uncertain correlated transition matrices

IEEE Transactions on Neural Networks

Efficient solutions to factored MDPs with imprecise transition probabilities

Artificial Intelligence

Using mathematical programming to solve Factored Markov Decision Processes with Imprecise Probabilities

International Journal of Approximate Reasoning

Robust combination of local controllers

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence

Solving uncertain markov decision problems: an interval-based method

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II

Structural abstraction experiments in reinforcement learning

AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence

Robust and adaptive dynamic power management for time varying system

ICESS'04 Proceedings of the First international conference on Embedded Software and Systems

Probabilistic verification of uncertain systems using bounded-parameter markov decision processes

MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence

SAVES: a sustainable multiagent application to conserve building energy considering occupants

Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1

Sustainable multiagent application to conserve energy (demonstration)

Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3

Generating diverse plans to handle unknown and partially known user preferences

Artificial Intelligence

On the complexity of model checking interval-valued discrete time Markov chains

Information Processing Letters

Robust Markov Decision Processes

Mathematics of Operations Research

Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms

International Journal of Approximate Reasoning