18 search results - page 1 / 4 » A Genetic Algorithm for Automatically Designing Modular Rein... |
GECCO
2000
Springer
13 years 8 months ago
2000
Springer
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...
AAAI
1996
13 years 6 months ago
1996
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
NIPS
2000
13 years 6 months ago
2000
We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
IJRR
2008
13 years 4 months ago
2008
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
ATAL
2005
Springer
13 years 10 months ago
2005
Springer
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...