Do the right thing: studies in limited rationality
Do the right thing: studies in limited rationality
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Learning to Perceive and Act by Trial and Error
Machine Learning
Efficient resource-bounded reasoning in AT-RALPH
Proceedings of the first international conference on Artificial intelligence planning systems
Deliberation scheduling for problem solving in time-constrained environments
Artificial Intelligence
Learning to coordinate without sharing information
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Increasing the efficiency of simulated annealing search by learning to recognize (Un)promising runs
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Guardian: a prototype intelligent agent for intensive-care monitoring
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Optimal composition of real-time systems
Artificial Intelligence
T&Aelig;MS: a framework for environment centered analysis and design of coordination mechanisms
Foundations of distributed artificial intelligence
ACM SIGART Bulletin
Reinforcement learning with hierarchies of machines
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning
Artificial Intelligence
Toward robust agent control in open environments
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Reinforcement Learning
Multi-linked negotiation in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Neuro-Dynamic Programming
Learning Communication Strategies in Multiagent Systems
Applied Intelligence
Reinforcement Learning in the Multi-Robot Domain
Autonomous Robots
The Challenges of Real-Time AI
Computer
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Reactive Control of Dynamic Progressive Processing
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Sequential Optimality and Coordination in Multiagent Systems
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Empirical Evaluation of a Reinforcement Learning Spoken Dialogue System
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Reinforcement Learning for Algorithm Selection
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A Distributed Reinforcement Learning Scheme for Network Routing
A Distributed Reinforcement Learning Scheme for Network Routing
Criteria-Directed Heuristic Task Scheduling TITLE2:
Criteria-Directed Heuristic Task Scheduling TITLE2:
Temporal credit assignment in reinforcement learning
Temporal credit assignment in reinforcement learning
Learning in embedded systems
The control of reasoning in resource-bounded agents
The Knowledge Engineering Review
Meta-level control in multi-agent systems
Meta-level control in multi-agent systems
The Soft Real-Time Agent Control Architecture
Autonomous Agents and Multi-Agent Systems
Hierarchical reinforcement learning with the MAXQ value function decomposition
Journal of Artificial Intelligence Research
Managing online self-adaptation in real-time environments
IWSAS'01 Proceedings of the 2nd international conference on Self-adaptive software: applications
Controlling deliberation in a Markov decision process-based agent
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Calculating optimal decision using meta-level agents for multi-agents in networks
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Decentralized monitoring of distributed anytime algorithms
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Agent sensing with stateful resources
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Observer effect from stateful resources in agent sensing
Autonomous Agents and Multi-Agent Systems
Multiagent meta-level control for radar coordination
Web Intelligence and Agent Systems
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Sophisticated agents operating in open environments must make decisions that efficiently trade off the use of their limited resources between dynamic deliberative actions and domain actions. This is the meta-level control problem for agents operating in resource-bounded multi-agent environments. Control activities involve decisions on when to invoke and the amount to effort to put into scheduling and coordination of domain activities. The focus of this paper is how to make effective meta-level control decisions. We show that meta-level control with bounded computational overhead allows complex agents to solve problems more efficiently than current approaches in dynamic open multi-agent environments. The meta-level control approach that we present is based on the decision-theoretic use of an abstract representation of the agent state. This abstraction concisely captures critical information necessary for decision making while bounding the cost of meta-level control and is appropriate for use in automatically learning the meta-level control policies.