International Workshop on Adaptive and Learning Agents

The topics of interest include but are not limited to:

• Novel combinations of reinforcement and supervised learning approaches

• Integrated learning approaches that work with other agent reasoning modules like negotiation, trust models, coordination, etc.

• Supervised multiagent learning

• Reinforcement learning (single and multiagent)

• Planning (single and multiagent)

• Reasoning (single and multiagent)

• Distributed learning

• Adaptation and learning in dynamic environments

• Evolution of agents in complex environments

• Co-evolution of agents in a multiagent setting

• Cooperative exploration and learning to cooperate and collaborate

• Learning trust and reputation

• Communication restrictions and their impact on multiagent coordination

• Design of reward structure and fitness measures for coordination

• Scaling learning techniques to large systems of learning and adaptive agents

• Emergent behaviour in adaptive multiagent systems

• Game theoretical analysis of adaptive multiagent systems

• Neuro-control in multiagent systems

• Bio-inspired multiagent systems

• Applications of adaptive and learning agents and multiagents systems to real world complex systems