A Generalised Approach to Position Selection for Simulated Soccer Agents
RoboCup 2001: Robot Soccer World Cup V
Safe exploration of state and action spaces in reinforcement learning
Journal of Artificial Intelligence Research
Hi-index | 0.00 |
This article presents an overview of the Essex Wizards 2001 team participated in the RoboCup 2001 simulator league. Four major issues have been addressed, namely a generalized approach to position selection, strategic planning and encoded communication, reinforcement learning (RL) and Kanerva-based generalization, as well as the agent architecture and agent behaviours.