135 search results - page 18 / 27 » Solving the Ill-Conditioning in Neural Network Learning |
DIGRA
2005
Springer
15 years 3 months ago
2005
Springer
One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in computer games is agent movement. Pathfinding strategies are usually employed as the core...
108
Voted
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
JMLR
2008
14 years 9 months ago
2008
Many complex control problems require sophisticated solutions that are not amenable to traditional controller design. Not only is it difficult to model real world systems, but oft...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
71
Voted
NN
1998
Springer
14 years 9 months ago
1998
Springer
We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...