Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning
Artificial Intelligence
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
An approach to the analysis and design of multiagent systems based on interaction frames
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems
Interaction is meaning: a new model for communication in open systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Acquiring and adapting probabilistic models of agent conversation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A layered approach to learning coordination knowledge in multiagent environments
Applied Intelligence
Emerging coordination in infinite team Markov games
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns
Agent Communication II
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