TD(λ) Converges with Probability 1
Machine Learning
Asynchronous Stochastic Approximation and Q-Learning
Machine Learning
Reinforcement learning with replacing eligibility traces
Machine Learning - Special issue on reinforcement learning
Applications of intelligent agents
Agent technology
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Keepaway Soccer: A Machine Learning Testbed
RoboCup 2001: Robot Soccer World Cup V
Teamwork and simulation in hybrid cognitive architecture
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Function approximation via tile coding: automating parameter choice
SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
Data mining techniques for robocup soccer agents
AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining
A Role-Based Framework for Multi-agent Teaming
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Experimental analysis of eligibility traces strategies in temporal difference learning
International Journal of Knowledge Engineering and Soft Data Paradigms
Research Directions in the KES Centre
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Simulation and reinforcement learning with soccer agents
Multiagent and Grid Systems - Innovations in intelligent agent technology
A role-oriented BDI framework for real-time multiagent teaming
Intelligent Decision Technologies
Experimental analysis on Sarsa(λ) and Q(λ) with different eligibility traces strategies
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Theoretical advances of intelligent paradigms
Recent advances in intelligent decision technologies
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Temporal difference learning and simulated annealing for optimal control: a case study
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Reinforcement learning of competitive and cooperative skills in soccer agents
Applied Soft Computing
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Reinforcement learning plays an important role in Multi-Agent Systems. The reasoning and learning ability of agents is the key for autonomous agents. Autonomous agents are required to be able to adapt and learn in uncertain environments via communication and collaboration (in both competitive and cooperative situations). For real-time, non-deterministic and dynamic systems, it is often extremely complex and difficult to formally verify their properties a priori. In this paper, we adopt the reinforcement learning algorithms to verify goal-oriented agents' competitive and cooperative learning abilities for decision making. In doing so, a simulation testbed is applied to test the learning algorithms in the specified scenarios. In addition, the function approximation technique known as tile coding (TC), is used to generate value functions, which can avoid the value function growing exponentially with the number of the state values.