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GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
14 years 6 days 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
ILP
2007
Springer
14 years 2 months ago
Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
JAIR
2008
119views more  JAIR 2008»
13 years 8 months ago
A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
Sherief Abdallah, Victor R. Lesser
ICAART
2010
INSTICC
14 years 5 months ago
A Cautious Approach to Generalization in Reinforcement Learning
Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel...
ATAL
2009
Springer
14 years 3 months ago
Transferring experience in reinforcement learning through task decomposition
Ioannis Partalas, Grigorios Tsoumakas, Konstantino...