Embedding knowledge in reinforcement learning
ICANN 98: Proceedings of the 8th International …, 1998 - Springer
In almost all real systems where reinforcement learning is applied, it is found that a
knowledge free approach doesn't work. The basic RL algorithms must sufficiently be biased …
knowledge free approach doesn't work. The basic RL algorithms must sufficiently be biased …
[PDF][PDF] Embedding Knowledge in Reinforcement Learning
G Hailu, G Sommer - Citeseer
In almost all real systems where reinforcement learning is applied, it is found that a
knowledge free approach doesn't work. The basic RL algorithms must su ciently be biased …
knowledge free approach doesn't work. The basic RL algorithms must su ciently be biased …
Embedding Knowledge in Reinforcement Learning
G Hailu, G Sommer - 1998 - Springer
In almost all real systems where reinforcement learning is applied, it is found that a
knowledge free approach doesn't work. The basic RL algorithms must sufficiently be biased …
knowledge free approach doesn't work. The basic RL algorithms must sufficiently be biased …