Team-partitioned, opaque-transition reinforcement learning
Proceedings of the third annual conference on Autonomous Agents
Reinforcement learning with hierarchies of machines
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Robot Motion Planning
The AGILO autonomous robot soccer team: computational principles, experiences, and perspectives
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Structured Reactive Controllers
Autonomous Agents and Multi-Agent Systems
Behavior Networks for Continuous Domains using Situation-Dependent Motivations
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer
RoboCup 2000: Robot Soccer World Cup IV
Cooperative Probabilistic State Estimation for Vision-Based Autonomous Soccer Robots
RoboCup 2001: Robot Soccer World Cup V
The CMUnited-97 Small Robot Team
RoboCup-97: Robot Soccer World Cup I
Integrating Learning with Motor Schema-Based Control for a Robot Soccer Team
RoboCup-97: Robot Soccer World Cup I
Agilo RoboCuppers: RoboCup Team Description
RoboCup-99: Robot Soccer World Cup III
Decision-Theoretic, High-Level Agent Programming in the Situation Calculus
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Task Decomposition and Dynamic Role Assignment for Real-Time Strategic Teamwork
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
Watch their moves: applying probabilistic multiple object tracking to autonomous robot soccer
Eighteenth national conference on Artificial intelligence
Teaming up: Georgia tech's multi-robot competition teams
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
| Hi-index | 0.00 |
Robotic soccer has become a standard "real-world" testbed for autonomous robot control. This paper presents our current views on the use of plan-based control mechanisms for autonomous robotic soccer. We argue that plan-based control will enable autonomous soccer playing robots to better perform sophisticated and fine tuned soccer plays. We present and discuss some of the plan representations that we have developed for robotic soccer. Finally, we outline extensions of our plan representation language that allow for the explicit and transparent specification of learning problems within plans. This extended language enables robot controllers to employ learning subplans that can be reasoned about and manipulated.