Expo-MAS
Reinforcement Learning (RL) provides a powerful paradigm for artificial intelligence and the enabling of autonomous systems to learn to make good decisions. RL is relevant to an enormous range of tasks, including robotics, game playing, consumer modeling and healthcare.
Expo-MAS
Includes:Agent and multi-agent applications, Agent engineering: development techniques, tools, and platforms, Agent-based simulation, Biologically-inspired approaches and methods, Collective intelligence, Complex systems, Distributed problem solving, Human-robot–agent interaction
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