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ACRI
2008
Springer
14 years 2 months ago
GP Generation of Pedestrian Behavioral Rules in an Evacuation Model Based on SCA
This paper presents a research in the context of pedestrian dynamics according to Situated Cellular Agent (SCA), a Multi-Agent Systems approach whose roots are on Cellular Automata...
Stefania Bandini, Sara Manzoni, Giancarlo Mauri, S...
ICRA
1994
IEEE
94views Robotics» more  ICRA 1994»
13 years 11 months ago
A Reinforcement-Learning Approach to Reactive Control Policy Design for Autonomous Robots
Within the field of robotics, much recent attention has been given to control techniques that have been termed reactive or behavior-based. The design of such control systems for e...
Andrew H. Fagg, David Lotspeich, George A. Bekey
JMLR
2002
125views more  JMLR 2002»
13 years 7 months ago
Lyapunov Design for Safe Reinforcement Learning
Lyapunov design methods are used widely in control engineering to design controllers that achieve qualitative objectives, such as stabilizing a system or maintaining a system'...
Theodore J. Perkins, Andrew G. Barto
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
13 years 11 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
JAIR
2002
99views more  JAIR 2002»
13 years 7 months ago
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System
Designing the dialogue policy of a spoken dialogue system involves many nontrivial choices. This paper presents a reinforcement learning approach for automatically optimizing a di...
Satinder P. Singh, Diane J. Litman, Michael J. Kea...