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ICML
2002
IEEE
16 years 1 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
104
Voted
ATAL
2009
Springer
15 years 7 months ago
Adversarial search with procedural knowledge heuristic
We introduce an adversarial planning algorithm based on game tree search, which is applicable in large-scale multiplayer domains. In order to tackle the scalability issues of game...
Viliam Lisý, Branislav Bosanský, Mic...
AAMAS
2007
Springer
15 years 6 months ago
Continuous-State Reinforcement Learning with Fuzzy Approximation
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
82
Voted
ATAL
2007
Springer
15 years 6 months ago
An agent-based approach for privacy-preserving recommender systems
Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...
Richard Cissée, Sahin Albayrak
84
Voted
MABS
2007
Springer
15 years 6 months ago
System Issues in Multi-agent Simulation of Large Crowds
Crowd simulation is a complex and challenging domain. Crowds demonstrate many complex behaviours and are consequently difficult to model for realistic simulation systems. Analyzing...
Vidit Bansal, Ramachandra Kota, Kamalakar Karlapal...