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ATAL
2011
Springer
14 years 6 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
PERCOM
2004
ACM
16 years 6 months ago
A User-Guided Cognitive Agent for Network Service Selection in Pervasive Computing Environments
Connectivity is central to pervasive computing environments. We seek to catalyze a world of rich and diverse connectivity through technologies that drastically simplify the task o...
George Lee, Peyman Faratin, Steven Bauer, John Wro...
SFM
2005
Springer
243views Formal Methods» more  SFM 2005»
16 years 5 days ago
Hermes: Agent-Based Middleware for Mobile Computing
Hermes is a middleware system for design and execution of activity-based applications in distributed environments. It supports mobile computation as an application implementation s...
Flavio Corradini, Emanuela Merelli
ROBOCUP
1999
Springer
95views Robotics» more  ROBOCUP 1999»
15 years 11 months ago
Spatial Agents Implemented in a Logical Expressible Language
In this paper, we present a multi-layered architecture for spatial and temporal agents. The focus is laid on the declarativity of the approach, which makes agent scripts expressive...
Frieder Stolzenburg, Oliver Obst, Jan Murray, Bj&o...
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 10 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono