Karlsruhe brainstormers - a reinforcement learning way to robotic soccer
| Author(s) : | R. Ehrmann O. Thate A. Sinner D. Meier A. Merke M. Riedmiller, |
| Publisher : | N/A |
| Publication Date : | 2001 |
| ISSN : | N/A |
| Abstract : | Abstract. Our long-term goal is to build a robot soccer team where the decision making part is based completely on Reinforcement Learning (RL) methods. The paper describes the overall approach pursued by the Karlsruhe Brainstormers simulator league team. Main parts of basic decision making are meanwhile solved using RL techniques. On the tactical level, rst empirical results are presented for 2 against 2 attack situations. 1, |