A layered architecture for office delivery robots
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Automatic OBDD-based generation of universal plans in non-deterministic domains
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Coordinating mobile robot group behavior using a model of interaction dynamics
Proceedings of the third annual conference on Autonomous Agents
Team-partitioned, opaque-transition reinforcement learning
Proceedings of the third annual conference on Autonomous Agents
Reward maximization in a non-stationary mobile robot environment
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Complexity of finite-horizon Markov decision process problems
Journal of the ACM (JACM)
Planning and Control in Artificial Intelligence: A Unifying Perspective
Applied Intelligence
An Integrated Approach of Learning, Planning, and Execution
Journal of Intelligent and Robotic Systems
Modelling Intelligent Behaviour: The Markov Decision Process Approach
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Filtering vs Revision and Update: Let Us Debate!
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning
Sequence Learning - Paradigms, Algorithms, and Applications
Logic, Knowledge Representation, and Bayesian Decision Theory
CL '00 Proceedings of the First International Conference on Computational Logic
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Learning low dimensional predictive representations
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Planning, learning and coordination in multiagent decision processes
TARK '96 Proceedings of the 6th conference on Theoretical aspects of rationality and knowledge
Using decision-theoretic models to enhance agent system survivability
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Heuristic anytime approaches to stochastic decision processes
Journal of Heuristics
Strong planning under partial observability
Artificial Intelligence
Partially observable Markov decision processes for spoken dialog systems
Computer Speech and Language
Coordinating microscopic robots in viscous fluids
Autonomous Agents and Multi-Agent Systems
Dynamic power management under uncertain information
Proceedings of the conference on Design, automation and test in Europe
Parallel simulation of a stochastic agent/environment interaction model
Integrated Computer-Aided Engineering
Reasoning for a multi-modal service robot considering uncertainty in human-robot interaction
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Recent Advances in Reinforcement Learning
A learning classifier system for mazes with aliasing clones
Natural Computing: an international journal
Learning Mazes with Aliasing States: An LCS Algorithm with Associative Perception
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Natural Language Engineering
An empirical analysis of value function-based and policy search reinforcement learning
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Stochastic local search for POMDP controllers
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Utilizing internal state in multi-robot coordination tasks
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
On the partial observability of temporal uncertainty
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Scaling up: solving POMDPs through value based clustering
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
A variance analysis for POMDP policy evaluation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Conformant planning via symbolic model checking
Journal of Artificial Intelligence Research
Accelerating reinforcement learning through implicit imitation
Journal of Artificial Intelligence Research
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
A model approximation scheme for planning in partially observable stochastic domains
Journal of Artificial Intelligence Research
Dynamic non-Bayesian decision making
Journal of Artificial Intelligence Research
The computational complexity of probabilistic planning
Journal of Artificial Intelligence Research
A planning algorithm for predictive state representations
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Planning in nondeterministic domains under partial observability via symbolic model checking
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Solving POMDPs with continuous or large discrete observation spaces
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Probabilistic robot navigation in partially observable environments
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Approximating optimal policies for partially observable stochastic domains
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Strong planning under partial observability
Artificial Intelligence
Inverse reinforcement learning in partially observable environments
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Greedy algorithms for sequential sensing decisions
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Inference and Learning in Planning (Extended Abstract)
DS '09 Proceedings of the 12th International Conference on Discovery Science
RL-Based Memory Controller for Scalable Autonomous Systems
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Conformant plans and beyond: Principles and complexity
Artificial Intelligence
Human-robot collaboration for a shared mission
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Rechargeable sensor activation under temporally correlated events
Wireless Networks
Modeling POMDPs for generating and simulating stock investment policies
Proceedings of the 2010 ACM Symposium on Applied Computing
Formal specification of multi-agent systems by using EUSMs
FSEN'07 Proceedings of the 2007 international conference on Fundamentals of software engineering
An overview of planning under uncertainty
Artificial intelligence today
Closing the learning-planning loop with predictive state representations
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Decision-theoretic Optimal Sampling in Hidden Markov Random Fields
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
An investigation into mathematical programming for finite horizon decentralized POMDPs
Journal of Artificial Intelligence Research
Computing optimal policies for partially observable decision processes using compact representations
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Monitoring the progress of anytime problem-solving
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
POMDP filter: pruning POMDP value functions with the Kaczmarz iterative method
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Planning under the uncertainty of the technical analysis of stock markets
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Nondeterministic planning for generating interactive plots
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Uncertainty-aware dynamic power management in partially observable domains
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Closing the learning-planning loop with predictive state representations
International Journal of Robotics Research
Planning with incomplete information
MoChArt'10 Proceedings of the 6th international conference on Model checking and artificial intelligence
A Monte-Carlo AIXI approximation
Journal of Artificial Intelligence Research
Inverse Reinforcement Learning in Partially Observable Environments
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
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Qualitative MDPs and POMDPs: an order-of-magnitude approximation
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Approximately optimal monitoring of plan preconditions
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Value-directed belief state approximation for POMDPs
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Vector-space analysis of belief-state approximation for POMDPs
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Value-directed sampling methods for monitoring POMDPs
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Solving POMDPs by searching in policy space
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Flexible decomposition algorithms for weakly coupled Markov decision problems
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Exploiting the rule structure for decision making within the independent choice logic
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Incremental pruning: a simple, fast, exact method for partially observable Markov decision processes
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Region-based approximations for planning in stochastic domains
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Reinforcement learning with echo state networks
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Model-based online learning of POMDPs
ECML'05 Proceedings of the 16th European conference on Machine Learning
Quantitative access control with partially-observable Markov decision processes
Proceedings of the second ACM conference on Data and Application Security and Privacy
Abstract policy evaluation for reactive agents
SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
Discrete state estimators for systems on a lattice
Automatica (Journal of IFAC)
Recognizing internal states of other agents to anticipate and coordinate interactions
EUMAS'11 Proceedings of the 9th European conference on Multi-Agent Systems
A formal account of nondeterministic and failed actions
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Run-time improvement of point-based POMDP policies
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Scheduling sensors for monitoring sentient spaces using an approximate POMDP policy
Pervasive and Mobile Computing
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