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Building Knowledge for AI Agents with Reinforcement Learning
AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent SystemsReinforcement learning allows autonomous agents to learn how to act in a stochastic, unknown environment, with which they can interact. Deep reinforcement learning, in particular, has achieved great success in well-defined application domains, such as ...
Knowledge Building Mechanism in Synergistic Learning Environment
CSSE '08: Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 05Synergistic learning technology system is a new learning environment with collaborative annotation and visual knowledge mapping. With experimentation and verbal protocol method, this paper analyzed the learner’s knowledge building mechanism in the ...
Clustering Based Collaborative Learning Grouping for Knowledge Building
Web and Big DataAbstractWith the development of online learning, collaborative learning grouping has been paid more and more attention. In collaborative learning grouping, it is very important to develop new knowledge structures by building knowledge among collaborative ...