Spatiotemporal Abstraction of Stochastic Sequential Processes
Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation
Nearly deterministic abstractions of Markov decision processes
Eighteenth national conference on Artificial intelligence
Greedy linear value-approximation for factored Markov decision processes
Eighteenth national conference on Artificial intelligence
Equivalence notions and model minimization in Markov decision processes
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
Reinforcement Learning with Factored States and Actions
The Journal of Machine Learning Research
Graphical Models in Local, Asymmetric Multi-Agent Markov Decision Processes
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Planning and programming with first-order markov decision processes: insights and challenges
TARK '01 Proceedings of the 8th conference on Theoretical aspects of rationality and knowledge
Dynamic programming for structured continuous Markov decision problems
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Exploiting first-order regression in inductive policy selection
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Coordinating Multiple Agents via Reinforcement Learning
Autonomous Agents and Multi-Agent Systems
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
ICML '06 Proceedings of the 23rd international conference on Machine learning
Resource allocation among agents with preferences induced by factored MDPs
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
On the relationship between MDPs and the BDI architecture
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Exploiting factored representations for decentralized execution in multiagent teams
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Complexity results and algorithms for possibilistic influence diagrams
Artificial Intelligence
Exploiting locality of interaction in factored Dec-POMDPs
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Reinforcement learning for problems with symmetrical restricted states
Robotics and Autonomous Systems
Learning MDP Action Models Via Discrete Mixture Trees
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Agent's actions as a classification criteria for the state space in a learning from rewards system
Journal of Experimental & Theoretical Artificial Intelligence
Exploiting Additive Structure in Factored MDPs for Reinforcement Learning
Recent Advances in Reinforcement Learning
Automatic construction of simple artifact-based business processes
Proceedings of the 12th International Conference on Database Theory
Factored value iteration converges
Acta Cybernetica
Factored temporal difference learning in the new ties environment
Acta Cybernetica
Optimistic initialization and greediness lead to polynomial time learning in factored MDPs
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
A POMDP framework for coordinated guidance of autonomous UAVs for multitarget tracking
EURASIP Journal on Advances in Signal Processing - Special issue on signal processing advances in robots and autonomy
Possibilistic Influence Diagrams
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Decision with uncertainties, feasibilities, and utilities: towards a unified algebraic framework
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Approximate linear-programming algorithms for graph-based Markov decision processes
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Mean Field Approximation of the Policy Iteration Algorithm for Graph-based Markov Decision Processes
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Anticipatory Behavior in Adaptive Learning Systems
Considering Unseen States as Impossible in Factored Reinforcement Learning
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Planning and execution with phase transitions
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
A Markovian model for dynamic and constrained resource allocation problems
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Towards faster planning with continuous resources in stochastic domains
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Planning for human-robot interaction using time-state aggregated POMDPs
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Efficient solution algorithms for factored MDPs
Journal of Artificial Intelligence Research
Decision-theoretic planning with non-Markovian rewards
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
An algebraic graphical model for decision with uncertainties, feasibilities, and utilities
Journal of Artificial Intelligence Research
First order decision diagrams for relational MDPs
Journal of Artificial Intelligence Research
Policy recognition in the abstract hidden Markov model
Journal of Artificial Intelligence Research
Symbolic dynamic programming for first-order MDPs
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Robot weightlifting by direct policy search
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Intensional dynamic programming. A Rosetta stone for structured dynamic programming
Journal of Algorithms
Investigations of continual computation
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Computing and using lower and upper bounds for action elimination in MDP planning
SARA'07 Proceedings of the 7th International conference on Abstraction, reformulation, and approximation
Automated large-scale control of gene regulatory networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Decision making with dynamically arriving information
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Incremental plan aggregation for generating policies in MDPs
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
TeXDYNA: hierarchical reinforcement learning in factored MDPs
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
Cost-based query answering in action probabilistic logic programs
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Learning the behavior model of a robot
Autonomous Robots
Learning the states: a brain inspired neural model
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
Decision-theoretic planning with generalized first-order decision diagrams
Artificial Intelligence
Probabilistic relational planning with first order decision diagrams
Journal of Artificial Intelligence Research
A framework and a mean-field algorithm for the local control of spatial processes
International Journal of Approximate Reasoning
Anytime state-based solution methods for decision processes with non-Markovian rewards
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Inductive policy selection for first-order MDPs
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Decision-theoretic planning with concurrent temporally extended actions
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Bisimulation Metrics for Continuous Markov Decision Processes
SIAM Journal on Computing
Proximity-based non-uniform abstractions for approximate planning
Journal of Artificial Intelligence Research
Recognizing internal states of other agents to anticipate and coordinate interactions
EUMAS'11 Proceedings of the 9th European conference on Multi-Agent Systems
Parallel Abductive Query Answering in Probabilistic Logic Programs
ACM Transactions on Computational Logic (TOCL)
Speeding-up reinforcement learning through abstraction and transfer learning
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Learning potential functions and their representations for multi-task reinforcement learning
Autonomous Agents and Multi-Agent Systems
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